Peter Müller
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Peter Müllermathematics Degrees
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Peter Müllercomputer-science Degrees
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(Suggest an Edit or Addition)Peter Müller's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Estimating mixture of dirichlet process models (1998) (657)
- Nonparametric Bayesian data analysis (2004) (499)
- Bayesian Adaptive Methods for Clinical Trials (2010) (466)
- An ANOVA Model for Dependent Random Measures (2004) (363)
- Bayesian curve fitting using multivariate normal mixtures (1996) (338)
- Hierarchical priors and mixture models, with applications in regression and density estimation (2006) (291)
- FDR and Bayesian Multiple Comparisons Rules (2006) (219)
- Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model (2006) (218)
- Determining the Effective Sample Size of a Parametric Prior (2008) (207)
- DPpackage: Bayesian Semi- and Nonparametric Modeling in R (2011) (203)
- A Bayesian mixture model for differential gene expression (2005) (191)
- Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation (2004) (180)
- Optimal Sample Size for Multiple Testing (2004) (173)
- A method for combining inference across related nonparametric Bayesian models (2004) (169)
- Bayesian inference for gene expression and proteomics (2006) (160)
- INCORPORATING MULTIPLE SOURCES OF STOCHASTICITY INTO DYNAMIC POPULATION MODELS (2003) (159)
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling (2009) (151)
- Optimal Design via Curve Fitting of Monte Carlo Experiments (1995) (150)
- Bayesian Nonparametric Inference - Why and How. (2013) (140)
- Adaptive Bayesian Designs for Dose-Ranging Drug Trials (2002) (137)
- A Bayesian Population Model with Hierarchical Mixture Priors Applied to Blood Count Data (1997) (125)
- A Product Partition Model With Regression on Covariates (2011) (120)
- Nonparametric Bayesian Modeling for Multivariate Ordinal Data (2005) (116)
- Bayesian correlation estimation (2004) (107)
- Simulation Based Optimal Design (2005) (97)
- A Bayesian semiparametric model for case-control studies with errors in variables (1997) (92)
- Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models (1997) (92)
- Simulation-based sequential Bayesian design (2007) (78)
- Bayesian Nonparametrics: An invitation to Bayesian nonparametrics (2010) (69)
- Random Partition Models with Regression on Covariates. (2010) (65)
- A Bayesian discovery procedure (2009) (58)
- Efficient MCMC Schemes for Robust Model Extensions Using Encompassing Dirichlet Process Mixture Models (2000) (58)
- Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data (2010) (57)
- Semiparametric Bayesian classification with longitudinal markers (2007) (52)
- Defining Predictive Probability Functions for Species Sampling Models. (2013) (52)
- Bayesian Nonparametric Estimation for Dynamic Treatment Regimes With Sequential Transition Times (2014) (51)
- CENTER-ADJUSTED INFERENCE FOR A NONPARAMETRIC BAYESIAN RANDOM EFFECT DISTRIBUTION. (2011) (44)
- Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity (2015) (42)
- Optimal sampling times in population pharmacokinetic studies (2001) (40)
- DPpackage: Bayesian Non- and Semi-parametric Modelling in R. (2011) (39)
- BayClone: Bayesian Nonparametric Inference of Tumor Subclones Using NGS Data (2014) (39)
- A Bayesian subgroup analysis with a zero‐enriched Polya Urn scheme (2011) (39)
- A Bayesian Decision-Theoretic Dose-Finding Trial (2006) (38)
- Accuracy of RNA-Seq and its dependence on sequencing depth (2012) (38)
- Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger (2010) (38)
- A Simple Class of Bayesian Nonparametric Autoregression Models. (2013) (37)
- Bayesian Optimal Design for Phase II Screening Trials (2008) (36)
- The multivariate beta process and an extension of the Polya tree model. (2011) (35)
- Bayesian Meta‐analysis for Longitudinal Data Models Using Multivariate Mixture Priors (2003) (34)
- Prior Effective Sample Size in Conditionally Independent Hierarchical Models. (2012) (34)
- Bayesian optimal design in population models for haematologic data. (1998) (33)
- Subgroup-Based Adaptive (SUBA) Designs for Multi-arm Biomarker Trials (2014) (32)
- A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications (2013) (32)
- Evaluating the Impact of Prior Assumptions in Bayesian Biostatistics (2010) (32)
- Some issues in nonparametric Bayesian modeling using species sampling models (2008) (32)
- Subgroup finding via Bayesian additive regression trees (2017) (32)
- Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data. (2015) (31)
- A Bayesian semiparametric approach for the differential analysis of sequence counts data (2014) (29)
- Bayesian inference for latent biologic structure with determinantal point processes (DPP) (2015) (27)
- A Time‐Series DDP for Functional Proteomics Profiles (2012) (27)
- Optimal Design for Heart Defibrillators (1995) (27)
- A Nonparametric Bayesian Model for Local Clustering With Application to Proteomics (2013) (27)
- Approximatereference priors in the presence of latent structures (2010) (27)
- A Nonparametric Approach to Detect Nonlinear Correlation in Gene Expression (2010) (26)
- Bayesian Nonparametrics: List of contributors (2010) (26)
- Bayesian Models for Non‐linear Autoregressions (1997) (26)
- On Differential Gene Expression Using RNA-Seq Data (2011) (26)
- MAD Bayes for Tumor Heterogeneity—Feature Allocation With Exponential Family Sampling (2014) (26)
- Bayesian Population Pharmacokinetic and Pharmacodynamic Analyses Using Mixture Models (1997) (25)
- Screening designs for drug development. (2007) (25)
- Numerical Evaluation of Information- Theoretic Measures (1996) (25)
- Bayesian Graphical Models for Differential Pathways (2016) (24)
- A nonparametric Bayesian model for inference in related longitudinal studies (2005) (24)
- MODELING DEPENDENT GENE EXPRESSION. (2012) (22)
- Assessing Toxicities in a Clinical Trial: Bayesian Inference for Ordinal Data Nested within Categories (2010) (22)
- Bayesian Nonparametrics: Frontmatter (2010) (22)
- Modeling Protein Expression and Protein Signaling Pathways (2012) (22)
- Modeling Disease Progression With Longitudinal Markers (2008) (22)
- Rubbery Polya Tree (2012) (21)
- Detecting differential patterns of interaction in molecular pathways. (2015) (21)
- Bayesian Density Estimation and Inference Using Mixtures (2007) (21)
- Dependent Species Sampling Models for Spatial Density Estimation (2017) (20)
- Bayesian randomized clinical trials: A decision‐theoretic sequential design (2004) (20)
- Practical Nonparametric and Semiparametric Bayesian Statistics (Lecture Notes in Statistics 137) (1999) (19)
- A Bayesian Semiparametric Survival Model with Longitudinal Markers (2010) (19)
- Bayesian inference for intratumour heterogeneity in mutations and copy number variation (2016) (19)
- Semiparametric Bayesian Inference for Multilevel Repeated Measurement Data (2007) (18)
- A Bayesian decision‐theoretic sequential response‐adaptive randomization design (2013) (18)
- Exploring Expected Utility Surfaces by Markov Chains (1996) (18)
- Heterogeneous reciprocal graphical models (2016) (18)
- Cluster‐Specific Variable Selection for Product Partition Models (2015) (17)
- Borrowing Strength with Nonexchangeable Priors over Subpopulations (2012) (16)
- Bayesian graphical models for computational network biology (2017) (16)
- Modeling Risk of Breast Cancer and Decisions about Genetic Testing (1999) (16)
- Fitting and Validation of a Bivariate Model for Large Claims (2008) (14)
- Bayesian Enrichment Strategies for Randomized Discontinuation Trials (2012) (14)
- Nonparametric Bayesian Bi-Clustering for Next Generation Sequencing Count Data. (2013) (14)
- Nonparametric Bayesian inference in applications (2018) (13)
- Computational Bayesian Statistics (2019) (13)
- Bayesian nonparametric clustering for large data sets (2019) (13)
- The Shadow Prior (2009) (13)
- Bayesian population finding with biomarkers in a randomized clinical trial (2017) (13)
- Nonparametric Bayesian Assessment of the Order of Dependence for Binary Sequences (2004) (12)
- Sequential stopping for high-throughput experiments (2012) (12)
- Subgroup inference for multiple treatments and multiple endpoints in an Alzheimer’s disease treatment trial (2017) (12)
- Bayesian inference for longitudinal data with non-parametric treatment effects. (2014) (11)
- Pharmacodynamic analysis of hematologic profiles (1994) (11)
- A Bayesian graphical model for integrative analysis of TCGA data (2012) (10)
- Optimal sampling for repeated binary measurements (2004) (10)
- Characterizing Cancer-Specific Networks by Integrating TCGA Data (2014) (10)
- Consensus Monte Carlo for Random Subsets Using Shared Anchors (2019) (10)
- A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks. (2019) (9)
- Multiplicity-adjusted semiparametric benefiting subgroup identification in clinical trials (2018) (9)
- A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates (2020) (9)
- Semiparametric PK/PD Models (1998) (9)
- Clustering distributions with the marginalized nested Dirichlet process (2018) (8)
- A Bayesian bivariate failure time regression model (1998) (8)
- Clinical Trial Design as a Decision Problem. (2017) (8)
- A nonparametric Bayesian basket trial design (2016) (8)
- A Bayesian Model for Detecting Acute Change in Nonlinear Profiles (2001) (8)
- Differential Patterns of Interaction and Gaussian Graphical Models (2012) (8)
- Innovative trial design in precision oncology. (2020) (7)
- Semiparametric Bayesian Inference for Phage Display Data (2013) (7)
- A Decision-Theoretic Comparison of Treatments to Resolve Air Leaks After Lung Surgery Based on Nonparametric Modeling. (2015) (7)
- Bayesian robustness for decision making problems: Applications in medical contexts (2009) (7)
- A Bayesian subgroup analysis using collections of ANOVA models (2017) (7)
- Oncology clinical trials (2013) (7)
- Bayesian Nonparametrics: More nonparametric Bayesian models for biostatistics (2009) (6)
- A Bayesian random partition model for sequential refinement and coagulation (2019) (6)
- A decision-theoretic phase I-II design for ordinal outcomes in two cycles. (2016) (6)
- BM-BC: a Bayesian method of base calling for Solexa sequence data (2012) (6)
- Bayesian Nonparametric Shrinkage Applied to Cepheid Star Oscillations. (2012) (5)
- Monte Carlo Methods and Bayesian Computation : MCMC (2004) (5)
- Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior: Comment (1999) (5)
- Editorial: Roles of Hypothesis Testing, p-Values and Decision Making in Biopharmaceutical Research (2021) (5)
- Bayesian Approaches to Subgroup Analysis and Related Adaptive Clinical Trial Designs. (2019) (5)
- Effect on Prediction When Modeling Covariates in Bayesian Nonparametric Models (2013) (5)
- Bayesian Hierarchical Model for Differential Gene Expression Using RNA-Seq Data (2015) (4)
- Bayesian Inference in Political Science, Finance, and Marketing Research (2010) (4)
- ANOVA DDP Models: A Review (2003) (4)
- Sparse Bayesian graphical models for RPPA time course data (2012) (4)
- Bayesian Hierarchical Models for Protein Networks in Single-Cell Mass Cytometry (2014) (4)
- Clustering and Prediction With Variable Dimension Covariates (2019) (4)
- Variance in estimated pairwise genetic distance under high versus low coverage sequencing: The contribution of linkage disequilibrium. (2017) (4)
- Spatial Species Sampling and Product Partition Models (2015) (4)
- Hierarchical Bayesian Models for ChIP-seq Data (2014) (3)
- Bayesian Clinical Trials (2010) (3)
- Semiparametric Bayesian inference for repeated fractional measurement data. (2010) (3)
- An invitation to Bayesian nonparametrics (2010) (3)
- Identification of Biomarkers in Classification and Clustering of High-Throughput Data (2006) (3)
- Simulation Approach to One-Stage and Sequential Optimal Design Problems (1995) (3)
- A DDP Model for Survival Regression (2006) (3)
- Bayesian Model Selection and Hypothesis Tests (2010) (3)
- Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan (2020) (2)
- Models for Probability of Under- and Overexpression: The POE Scale (2006) (2)
- Estimating Latent Cell Subpopulations with Bayesian Feature Allocation Models (2015) (2)
- Dose Individualization for High-dose anti-cancer Chemotherapy (2004) (2)
- Toward Breaking the Histone Code: Bayesian Graphical Models for Histone Modifications (2013) (2)
- Bayesian Decision Based Estimation and Predictive Inference (2010) (2)
- Detecting T cell activation using a varying dimension Bayesian model (2018) (2)
- Bayesian decision theoretic multiple comparison procedures: An application to phage display data (2013) (2)
- Bayesian Nonparametric Models (2015) (2)
- Simulation-Based Sequential Bayesian Design 1 (2006) (2)
- A semiparametric Bayesian approach to population finding with time‐to‐event and toxicity data in a randomized clinical trial (2019) (1)
- Bayesian Nonparametrics and Semi-parametrics (2010) (1)
- Discussion of "Simple, Defensible Sample Sizes Based on Cost Efficiency," by P. Bacchetti, C. E. McCulloch, and M. R. Segal (2008) (1)
- Bayesian Computational Methods in Biomedical Research (2008) (1)
- Bayesian Inference for Complex Computer Models (2010) (1)
- Comment on article by Jensen et al. (2009) (1)
- RNDClone: Tumor subclone reconstruction based on integrating DNA and RNA sequence data (2020) (1)
- Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data (2013) (1)
- Clustering and Feature Allocation (2015) (1)
- Basics of Bayesian inference (2010) (1)
- Modeling Dependencies in Large Insurance Claims (2009) (1)
- A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning (2022) (1)
- Bayesian approaches to include real-world data in clinical studies (2023) (1)
- Markov Chain Monte Carlo Methods (2001) (1)
- Phase I studies (2010) (1)
- Phase III studies (2010) (1)
- Parallel-Tempered Feature Allocation for Large-Scale Tumor Heterogeneity with Deep Sequencing Data (2016) (1)
- A semiparametric Bayesian model for repeatedly repeated binary outcomes (2008) (1)
- Optimal Design: Simulation Approaches (2004) (1)
- Bayesian multiplicity control for multiple graphs (2017) (1)
- Web-based Supplementary Materials for “ A Bayesian Semi-parametric Survival Model with Longitudinal Markers ” (2008) (0)
- Other Inference Problems and Conclusion (2015) (0)
- Sample Size Choice for Microarray Experiments (2006) (0)
- Bayesian Biostatistics 2014 – Satellite conference of the International Biometric Conference (2015) (0)
- Bayesian Geophysical, Spatial and Temporal Statistics (2010) (0)
- Bayesian Nonparametrics: Principles and Practice Introduction (2018) (0)
- Bayesian Graphical Models for Epigenomic Heterogeneity (2013) (0)
- A Bayesian Nonparametric Model for Reconstructing Tumor Subclones Based on Mutation Pairs (2016) (0)
- Bayesian Nonparametric Biostatistics Bayesian Nonparametric Biostatistics (2015) (0)
- Optimal Design in Longitudinal Data Models (1998) (0)
- Lifespan decreases with proportion of sons in males but not females of zoo‐housed tigers and lemurs (2020) (0)
- A Bayesian hierarchical model for inference across related reverse phase protein arrays experiments (2014) (0)
- Population Models for Hematologic Data (1999) (0)
- Bayesian Influence and Frequentist Interface (2010) (0)
- Biomarker-Driven Adaptive Design (2015) (0)
- Rejoinder (2016) (0)
- Subgroup-Based Adaptive (SUBA) Designs for Multi-arm Biomarker Trials (2014) (0)
- Objective Bayesian Inference with Applications (2010) (0)
- Pharmacokinetics in Clinical Oncology Statistical Issues (2012) (0)
- Bayesian graphical models for computational network biology (2018) (0)
- Bayesian Categorical Data Analysis (2010) (0)
- Bayesian Nonparametric Biostatistics (2015) (0)
- Propriety Conditions for the Bayesian Autologistic Model—Inference for Histone Modifications (2013) (0)
- Statistical remedies for medical researchers. PeterThallCham, Switzerland: Springer Nature Switzerland AG, 2020, Hard cover. pp. 291. US$ 113.63. (2020) (0)
- Bayesian Methods for Genomics, Molecular and Systems Biology (2010) (0)
- Simulation-Based Methods for Optimal Sampling Times in Population PK / PD Studies (2007) (0)
- Comment (2014) (0)
- Appendix to “ Bayesian inference in semiparametric mixed models for longitudinal data ” by (2008) (0)
- 2 Motivating examples 2 . 1 A Single-Arm Sarcoma Trial (2012) (0)
- Density Estimation: Models Beyond the DP (2015) (0)
- Density Estimation: DP Models (2015) (0)
- Bayesian nonparametric clustering for large data sets (2018) (0)
- Bayesian Decision‐Theoretic Methods for Survival Data using Stochastic Optimization (2020) (0)
- Discussion of “Sampling schemes for generalized DP random effects models” (2011) (0)
- Phase II studies (2010) (0)
- Modeling Dependencies in Large Claims (2007) (0)
- Bayesian Semiparametric Hidden Markov Tensor Models for Time Varying Random Partitions with Local Variable Selection (2023) (0)
- A Nonparametric Bayesian Model for Nested Clustering. (2016) (0)
- Bayesian Data Mining and Machine Learning (2010) (0)
- Statistical approaches for clinical trials (2010) (0)
- Supplemental Materials to Bayesian Adaptive Methods for Clinical Trials, 1st Edition (2018) (0)
- Book Reviews (2012) (0)
- Gibbs Sampling for ARCH Models in Finance (1995) (0)
- Bayesian Hierarchical Model for Differential Gene Expression Using RNA-Seq Data (2013) (0)
- MODELING DEPENDENT GENE EXPRESSION BY DONATELLO TELESCA, (2012) (0)
- Applied Bayesian Modelling (2005) (0)
- A semi‐mechanistic dose‐finding design in oncology using pharmacokinetic/pharmacodynamic modeling (2022) (0)
- CNGPLD: case-control copy-number analysis using Gaussian process latent difference (2022) (0)
- Simulation‐based sequential design (2022) (0)
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