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You searched for subject:(Poisson mixture model). Showing records 1 – 13 of 13 total matches.

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1. Arora, Monika. Extended Poisson Models for Count Data With Inflated Frequencies.

Degree: PhD, Mathematics and Statistics, 2018, Old Dominion University

  Count data often exhibits inflated counts for zero. There are numerous papers in the literature that show how to fit Poisson regression models that… (more)

Subjects/Keywords: Poisson models; Count data; Mixture model; Applied Mathematics; Statistics and Probability

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APA (6th Edition):

Arora, M. (2018). Extended Poisson Models for Count Data With Inflated Frequencies. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4

Chicago Manual of Style (16th Edition):

Arora, Monika. “Extended Poisson Models for Count Data With Inflated Frequencies.” 2018. Doctoral Dissertation, Old Dominion University. Accessed December 11, 2019. 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4.

MLA Handbook (7th Edition):

Arora, Monika. “Extended Poisson Models for Count Data With Inflated Frequencies.” 2018. Web. 11 Dec 2019.

Vancouver:

Arora M. Extended Poisson Models for Count Data With Inflated Frequencies. [Internet] [Doctoral dissertation]. Old Dominion University; 2018. [cited 2019 Dec 11]. Available from: 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4.

Council of Science Editors:

Arora M. Extended Poisson Models for Count Data With Inflated Frequencies. [Doctoral Dissertation]. Old Dominion University; 2018. Available from: 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4


Texas A&M University

2. Gujjula, Krishna Reddy. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.

Degree: PhD, Industrial Engineering, 2018, Texas A&M University

 The research in this dissertation focuses on developing a novel methodology for ChIPSeq dataset analysis. Despite its advances, the standard ChIP-Seq data analysis pipeline, i.e.,… (more)

Subjects/Keywords: ChIP-Seq; Peak-calling; E-M algorithm; Read mapping; Poisson mixture model; multi-mappable reads

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APA (6th Edition):

Gujjula, K. R. (2018). Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173796

Chicago Manual of Style (16th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Doctoral Dissertation, Texas A&M University. Accessed December 11, 2019. http://hdl.handle.net/1969.1/173796.

MLA Handbook (7th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Web. 11 Dec 2019.

Vancouver:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1969.1/173796.

Council of Science Editors:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173796


Texas A&M University

3. Gujjula, Krishna Reddy. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.

Degree: PhD, Industrial Engineering, 2018, Texas A&M University

 The research in this dissertation focuses on developing a novel methodology for ChIPSeq dataset analysis. Despite its advances, the standard ChIP-Seq data analysis pipeline, i.e.,… (more)

Subjects/Keywords: ChIP-Seq; Peak-calling; E-M algorithm; Read mapping; Poisson mixture model; multi-mappable reads

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APA (6th Edition):

Gujjula, K. R. (2018). Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173701

Chicago Manual of Style (16th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Doctoral Dissertation, Texas A&M University. Accessed December 11, 2019. http://hdl.handle.net/1969.1/173701.

MLA Handbook (7th Edition):

Gujjula, Krishna Reddy. “Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline.” 2018. Web. 11 Dec 2019.

Vancouver:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Internet] [Doctoral dissertation]. Texas A&M University; 2018. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1969.1/173701.

Council of Science Editors:

Gujjula KR. Map2Peak: A Novel Perspective on ChIP-Seq Data Analysis Pipeline. [Doctoral Dissertation]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173701


University of Rochester

4. Zhang, Hui. Distribution-free Models for Latent Population Mixtures.

Degree: PhD, 2011, University of Rochester

 Many studies in biomedical, psychosocial and related services research involve mixtures of populations. For example, when evaluating the effect of an HIV prevention intervention for… (more)

Subjects/Keywords: Functional Response Model; Zero-Inflated Poisson; Missing Data; Inverse Probability Weight; Latent Population Mixture

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APA (6th Edition):

Zhang, H. (2011). Distribution-free Models for Latent Population Mixtures. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/13979

Chicago Manual of Style (16th Edition):

Zhang, Hui. “Distribution-free Models for Latent Population Mixtures.” 2011. Doctoral Dissertation, University of Rochester. Accessed December 11, 2019. http://hdl.handle.net/1802/13979.

MLA Handbook (7th Edition):

Zhang, Hui. “Distribution-free Models for Latent Population Mixtures.” 2011. Web. 11 Dec 2019.

Vancouver:

Zhang H. Distribution-free Models for Latent Population Mixtures. [Internet] [Doctoral dissertation]. University of Rochester; 2011. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1802/13979.

Council of Science Editors:

Zhang H. Distribution-free Models for Latent Population Mixtures. [Doctoral Dissertation]. University of Rochester; 2011. Available from: http://hdl.handle.net/1802/13979


Indian Institute of Science

5. Tekumalla, Lavanya Sita. Non-Parametric Clustering of Multivariate Count Data.

Degree: 2017, Indian Institute of Science

 The focus of this thesis is models for non-parametric clustering of multivariate count data. While there has been significant work in Bayesian non-parametric modelling in… (more)

Subjects/Keywords: Multivariate Count Data; Clustering Mixture Models; Non-parametric Clustering; Bulk Cache Preloading; Dirichlet Process Mixture Models; Spatio-Temporal Data Aggregation; Sparse Multivariate Poisson; MultiVariate Poisson (MVP); Copulas; Nested Hierarchical Dirichlet Processes; Dirichlet Process Mixtures; Sparse-Multivariate Poisson; Dirichlet Process Mixture Model; Computer Science

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APA (6th Edition):

Tekumalla, L. S. (2017). Non-Parametric Clustering of Multivariate Count Data. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3598 ; http://etd.iisc.ernet.in/abstracts/4467/G28222-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tekumalla, Lavanya Sita. “Non-Parametric Clustering of Multivariate Count Data.” 2017. Thesis, Indian Institute of Science. Accessed December 11, 2019. http://etd.iisc.ernet.in/2005/3598 ; http://etd.iisc.ernet.in/abstracts/4467/G28222-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tekumalla, Lavanya Sita. “Non-Parametric Clustering of Multivariate Count Data.” 2017. Web. 11 Dec 2019.

Vancouver:

Tekumalla LS. Non-Parametric Clustering of Multivariate Count Data. [Internet] [Thesis]. Indian Institute of Science; 2017. [cited 2019 Dec 11]. Available from: http://etd.iisc.ernet.in/2005/3598 ; http://etd.iisc.ernet.in/abstracts/4467/G28222-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tekumalla LS. Non-Parametric Clustering of Multivariate Count Data. [Thesis]. Indian Institute of Science; 2017. Available from: http://etd.iisc.ernet.in/2005/3598 ; http://etd.iisc.ernet.in/abstracts/4467/G28222-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


George Mason University

6. Yan, Yongping. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .

Degree: 2013, George Mason University

 Traditional spatial-temporal models either use separable models to separate spatial processes from temporal processes, which often results in a loss of information, or use nonseparable… (more)

Subjects/Keywords: Statistics; Public health; Bayesian Hierarchical Model; Expectation Maximization; Finite Mixture model; Highway losses; Poisson point process; Spatio-temporal

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APA (6th Edition):

Yan, Y. (2013). Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8754

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yan, Yongping. “Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .” 2013. Thesis, George Mason University. Accessed December 11, 2019. http://hdl.handle.net/1920/8754.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yan, Yongping. “Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .” 2013. Web. 11 Dec 2019.

Vancouver:

Yan Y. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . [Internet] [Thesis]. George Mason University; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1920/8754.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yan Y. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . [Thesis]. George Mason University; 2013. Available from: http://hdl.handle.net/1920/8754

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

7. Li, Qing. Recurrent-Event Models for Change-Points Detection.

Degree: PhD, Statistics, 2015, Virginia Tech

 The driving risk of novice teenagers is the highest during the initial period after licensure but decreases rapidly. This dissertation develops recurrent-event change-point models to… (more)

Subjects/Keywords: Bayesian Finite Mixture Model; Clustering; Constant Piecewise Intensity; Dirichlet Process Mixture Model; Maximum Likelihood Estimate; Naturalistic Teenage Driving Study; Non-Homogeneous Poisson Process

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APA (6th Edition):

Li, Q. (2015). Recurrent-Event Models for Change-Points Detection. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78207

Chicago Manual of Style (16th Edition):

Li, Qing. “Recurrent-Event Models for Change-Points Detection.” 2015. Doctoral Dissertation, Virginia Tech. Accessed December 11, 2019. http://hdl.handle.net/10919/78207.

MLA Handbook (7th Edition):

Li, Qing. “Recurrent-Event Models for Change-Points Detection.” 2015. Web. 11 Dec 2019.

Vancouver:

Li Q. Recurrent-Event Models for Change-Points Detection. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/10919/78207.

Council of Science Editors:

Li Q. Recurrent-Event Models for Change-Points Detection. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78207

8. Pontes, Leandro Manuel Branco Pequito. Novas empresas e criação de emprego: dois ensaios com modelos de mistura.

Degree: 2008, RCAAP

JEL: C25, L26, M13, J23

As novas empresas e o sector das pequenas e médias empresas constituem vectores fundamentais para o desenvolvimento das economias ocidentais.… (more)

Subjects/Keywords: Empreendedorismo; Modelos de mistura finita; Modelos de regressão de Poisson; Segmentação; Emprego; Entrepreneurship; Finite mixture model; Poisson regression model; Segmentation; Employment

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APA (6th Edition):

Pontes, L. M. B. P. (2008). Novas empresas e criação de emprego: dois ensaios com modelos de mistura. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/2626

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pontes, Leandro Manuel Branco Pequito. “Novas empresas e criação de emprego: dois ensaios com modelos de mistura.” 2008. Thesis, RCAAP. Accessed December 11, 2019. https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/2626.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pontes, Leandro Manuel Branco Pequito. “Novas empresas e criação de emprego: dois ensaios com modelos de mistura.” 2008. Web. 11 Dec 2019.

Vancouver:

Pontes LMBP. Novas empresas e criação de emprego: dois ensaios com modelos de mistura. [Internet] [Thesis]. RCAAP; 2008. [cited 2019 Dec 11]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/2626.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pontes LMBP. Novas empresas e criação de emprego: dois ensaios com modelos de mistura. [Thesis]. RCAAP; 2008. Available from: https://www.rcaap.pt/detail.jsp?id=oai:repositorio.iscte-iul.pt:10071/2626

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


McMaster University

9. FENG, TIAN. CURE RATE AND DESTRUCTIVE CURE RATE MODELS UNDER PROPORTIONAL ODDS LIFETIME DISTRIBUTIONS.

Degree: PhD, 2019, McMaster University

Cure rate models, introduced by Boag (1949), are very commonly used while modelling lifetime data involving long time survivors. Applications of cure rate models can… (more)

Subjects/Keywords: Cure rate models; Mixture model; Long-term survivors; COM-Poisson distribution; Weighted Poisson distribution; EM algorithm; Right censoring; Non-informative censoring; Profile likelihood; Asymptotic variances and covariances; Maximum likelihood estimation; Likelihood-ratio test; Exponential distribution; Proportional odds model; Weibull distribution; Log-logistic distribution; Gamma distribution; Mixture of chi-square; Akaike Information Criterion (AIC); Bayesian Information Criterion (BIC); Model discrimination; Monte Carlo simulations; Goodness-of-fit test; Cutaneous melanoma

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APA (6th Edition):

FENG, T. (2019). CURE RATE AND DESTRUCTIVE CURE RATE MODELS UNDER PROPORTIONAL ODDS LIFETIME DISTRIBUTIONS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23906

Chicago Manual of Style (16th Edition):

FENG, TIAN. “CURE RATE AND DESTRUCTIVE CURE RATE MODELS UNDER PROPORTIONAL ODDS LIFETIME DISTRIBUTIONS.” 2019. Doctoral Dissertation, McMaster University. Accessed December 11, 2019. http://hdl.handle.net/11375/23906.

MLA Handbook (7th Edition):

FENG, TIAN. “CURE RATE AND DESTRUCTIVE CURE RATE MODELS UNDER PROPORTIONAL ODDS LIFETIME DISTRIBUTIONS.” 2019. Web. 11 Dec 2019.

Vancouver:

FENG T. CURE RATE AND DESTRUCTIVE CURE RATE MODELS UNDER PROPORTIONAL ODDS LIFETIME DISTRIBUTIONS. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/11375/23906.

Council of Science Editors:

FENG T. CURE RATE AND DESTRUCTIVE CURE RATE MODELS UNDER PROPORTIONAL ODDS LIFETIME DISTRIBUTIONS. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/23906

10. Saab, Rabih. Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes.

Degree: Dept. of Mathematics and Statistics, 2013, University of Victoria

 Generalized linear mixture models (GLMM) are widely used in statistical applications to model count and binary data. We consider the problem of nonparametric likelihood estimation… (more)

Subjects/Keywords: Nonparametric maximum likelihood estimation; geometry of mixture likelihood; Poisson mixture model; Bernoulli mixture model; Direct Search; directional derivative; Zero-inflated data; goodness-of-fit; model selection

Poisson model: two sample simulation results . . . . . . . . . Poisson model: 1000 simulation… …or Poisson distributions. Parametric mixture models assume that the mixing distribution… …Binary and Poisson models: Simulations and a case study 3.1 Bernoulli model Clustered binary… …results . . . . . . . Binary Sample 2 simulation results . . . . . . . Bernoulli model: 1000… …sample simulation results Specification for Poisson simulations . . . . . . . Poisson Sample 1… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Saab, R. (2013). Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/4548

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saab, Rabih. “Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes.” 2013. Thesis, University of Victoria. Accessed December 11, 2019. http://hdl.handle.net/1828/4548.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saab, Rabih. “Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes.” 2013. Web. 11 Dec 2019.

Vancouver:

Saab R. Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes. [Internet] [Thesis]. University of Victoria; 2013. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1828/4548.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saab R. Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes. [Thesis]. University of Victoria; 2013. Available from: http://hdl.handle.net/1828/4548

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Bassett, David R. Use of Roadway Attributes in Hot Spot Identification and Analysis.

Degree: MS, 2015, Brigham Young University

 The Utah Department of Transportation (UDOT) Traffic and Safety Division continues to advance the safety of roadway sections throughout the state. In an effort to… (more)

Subjects/Keywords: Poisson Mixture Model; crash analysis; hot spots; safety; roadway attributes; Civil and Environmental Engineering

…100 7.4.1 Intersection Predictive Crash Model… …102 7.4.4 Development of a GUI for the Model Interface… …the Utah Crash Prediction Model (UCPM), which is a statistical model of traffic 1… …the results of this model in a Geographic Information System (GIS) framework. The… …is to update and improve the predictive crash model developed by BYU in previous research… 

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APA (6th Edition):

Bassett, D. R. (2015). Use of Roadway Attributes in Hot Spot Identification and Analysis. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6641&context=etd

Chicago Manual of Style (16th Edition):

Bassett, David R. “Use of Roadway Attributes in Hot Spot Identification and Analysis.” 2015. Masters Thesis, Brigham Young University. Accessed December 11, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6641&context=etd.

MLA Handbook (7th Edition):

Bassett, David R. “Use of Roadway Attributes in Hot Spot Identification and Analysis.” 2015. Web. 11 Dec 2019.

Vancouver:

Bassett DR. Use of Roadway Attributes in Hot Spot Identification and Analysis. [Internet] [Masters thesis]. Brigham Young University; 2015. [cited 2019 Dec 11]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6641&context=etd.

Council of Science Editors:

Bassett DR. Use of Roadway Attributes in Hot Spot Identification and Analysis. [Masters Thesis]. Brigham Young University; 2015. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6641&context=etd

12. Farnsworth, Jacob S. Hot Spot Identification and Analysis Methodology.

Degree: MS, 2013, Brigham Young University

  The Utah Department of Transportation (UDOT) Traffic and Safety Division continues to advance the safety of roadway sections throughout the state. To aid UDOT… (more)

Subjects/Keywords: Poisson Mixture Model; hot spots; countermeasures; safety; Civil and Environmental Engineering

Mixture Model (PMM) of traffic crashes and safety by functional classification… …45 Table 6-1: Top 20 Model Hot Spots… …most recent of these tools has been the development of a hierarchical Bayesian 1 Poisson… …statewide and the integration of the results of this model in a Geographic Information System… …review, 3) data, 4) statistical model, 5) hot spot identification and analysis… 

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APA (6th Edition):

Farnsworth, J. S. (2013). Hot Spot Identification and Analysis Methodology. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4877&context=etd

Chicago Manual of Style (16th Edition):

Farnsworth, Jacob S. “Hot Spot Identification and Analysis Methodology.” 2013. Masters Thesis, Brigham Young University. Accessed December 11, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4877&context=etd.

MLA Handbook (7th Edition):

Farnsworth, Jacob S. “Hot Spot Identification and Analysis Methodology.” 2013. Web. 11 Dec 2019.

Vancouver:

Farnsworth JS. Hot Spot Identification and Analysis Methodology. [Internet] [Masters thesis]. Brigham Young University; 2013. [cited 2019 Dec 11]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4877&context=etd.

Council of Science Editors:

Farnsworth JS. Hot Spot Identification and Analysis Methodology. [Masters Thesis]. Brigham Young University; 2013. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4877&context=etd

13. Wu, Han. Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology.

Degree: PhD, Statistics, 2013, Purdue University

  RNA-Seq has emerged as a powerful technique for transcriptome study. As much as the improved sensitivity and coverage, RNA-Seq also brings challenges for data… (more)

Subjects/Keywords: convolution; gene; poisson mixture model; quatnification; RNA-Seq; transcripts; Bioinformatics; Statistics and Probability

model frame- x work, we further proposed the convolution of Poisson mixture models (CPM… …transcript expression levels. Third, a penalized convolution Poisson mixture model (penCPM-Seq… …analysis. 2.2 Poisson Mixture Model 2.2.1 PMI Model Suppose a ROI consists of n base pairs… …function of the kth component. We refer to (2.1) as the Poisson mixture model with… …Two Extensions of Poisson Mixture Models 2.3.1 PMAI Model The Poisson mixture model with… 

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APA (6th Edition):

Wu, H. (2013). Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology. (Doctoral Dissertation). Purdue University. Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/21

Chicago Manual of Style (16th Edition):

Wu, Han. “Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology.” 2013. Doctoral Dissertation, Purdue University. Accessed December 11, 2019. https://docs.lib.purdue.edu/open_access_dissertations/21.

MLA Handbook (7th Edition):

Wu, Han. “Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology.” 2013. Web. 11 Dec 2019.

Vancouver:

Wu H. Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology. [Internet] [Doctoral dissertation]. Purdue University; 2013. [cited 2019 Dec 11]. Available from: https://docs.lib.purdue.edu/open_access_dissertations/21.

Council of Science Editors:

Wu H. Statistical Models for Gene and Transcripts Quantification and Identification Using RNA-Seq Technology. [Doctoral Dissertation]. Purdue University; 2013. Available from: https://docs.lib.purdue.edu/open_access_dissertations/21

.