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Strategies for improving MCMC
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Bayesian parameter estimation for a jet-milling model using Metropolis–Hastings and Wang–Landau sampling
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Quantifying parameter uncertainty in a coral reef model using Metropolis-Coupled Markov Chain Monte Carlo
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Risk characterization of bisphenol-A in the Slovenian population starting from human biomonitoring data
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Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation
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Deep learning framework with Bayesian data imputation for modelling and forecasting groundwater levels
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Proposing a Bayesian hierarchical growth curve model (BHGCM) for tourism and hospitality research
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Adaptive radial-based direction sampling: some flexible and robust Monte Carlo integration methods
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Bayesian scrutiny of simple rainfall–runoff models used in forest water management
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Bayesian inference of constitutive model parameters from uncertain uniaxial experiments on murine tendons
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The Biokinetic Spectrum for Temperature and optimal Darwinian fitness
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Parallel and interacting Markov chain Monte Carlo algorithm
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Bayesian modeling of retrospective time-to-pregnancy data with digit preference bias
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Importance sampling correction versus standard averages of reversible MCMCs in terms of the asymptotic variance
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A framework for assessing uncertainties in simulation predictions
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General over-relaxation Markov chain Monte Carlo algorithms for Gaussian densities
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A random effects model for diseases with heterogeneous rates of infection
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Single channel signal component separation using Bayesian estimation
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A blocking Gibbs sampling method to detect major genes with phenotypic data from a diallel mating
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On MCMC sampling in hierarchical longitudinal models
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Over-relaxation methods and coupled Markov chains for Monte Carlo simulation
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An Introduction to MCMC for Machine Learning
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A Simple Approach to Fitting Bayesian Survival Models
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Markov Chain Monte Carlo on optimal adaptive sampling selections
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Climatological analysis of tornado report counts using a hierarchical Bayesian spatiotemporal model
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Predicting foraging wading bird populations in Everglades National Park from seasonal hydrologic statistics under different management scenarios
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Shrub encroachment alters sensitivity of soil respiration to temperature and moisture
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High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM (ZS) and high‐performance computing
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Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman‐Inspired Proposal Distribution
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Locating Boundaries Between Locked and Creeping Regions at Nankai and Cascadia Subduction Zones
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Citizen science via social media revealed conditions of symbiosis between a marine gastropod and an epibiotic alga
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Discordance between morphological species identification and mtDNA phylogeny in the flesh fly genus Ravinia (Diptera : Sarcophagidae)
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Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy
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Bayesian variable selection in a class of mixture models for ordinal data: a comparative study
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Adaptive Markov Chain Monte Carlo through Regeneration
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Bayes Factors and Approximations for Variance Component Models
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Genetic Susceptibility and Survival: Application to Breast Cancer
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Bayesian Variable Selection in Markov Mixture Models
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Regenerative Markov Chain Monte Carlo for Any Distribution
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Regenerative Markov Chain Importance Sampling
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A Novel Gibbs Maximum a Posteriori (GMAP) Approach on Bayesian Nonlinear Mixed-Effects Population Pharmacokinetics (PK) Models
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Structured Markov Chain Monte Carlo
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An Algorithm for Robust Inference for the Cox Model with Frailties
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Automated Factor Slice Sampling
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Analysis and Visualization of Tree Space
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Searching for Convergence in Phylogenetic Markov Chain Monte Carlo
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Hard Problems in Gene Sequence Analysis: Classical Approaches and Suitability of Genetic Algorithms
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Modeling Wetland Blackbird Populations as a Function of Waterfowl Abundance in the Prairie Pothole Region of the United States and Canada
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A new methodology for Bayesian history matching using parallel interacting Markov chain Monte Carlo
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Markov Chain Monte Carlo Methods for Radiation Hybrid Mapping
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Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference
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Assessing multivariate nonnormality using univariate distributions
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A Bayesian approach to case-control studies with errors in covariables
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HIV with contact tracing: a case study in approximate Bayesian computation
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Delusional Predictions and Explanations
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Predicting Regional Abundance of Rare Grassland Birds with a Hierarchical Spatial Count Model
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A novel Bayesian approach based on wing geometric morphometry to discriminate Culicoides species (Diptera: Ceratopogonidae)
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Extracting regulator activity profiles by integration of de novo motifs and expression data: characterizing key regulators of nutrient depletion responses in Streptomyces coelicolor
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Is Partial-Dimension Convergence a Problem for Inferences from MCMC Algorithms?
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An Assessment of Bayesian Model-Averaged Logistic Regression for Intensive-Care Prognosis
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Adaptive parallel tempering for BEAST 2
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A 3-R principle for characterizing failure in relief supply chains’ response to natural disasters
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Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC
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Bayesian deconvolution of noisy filtered point processes
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Comparative Analysis of Bayesian Methods for Estimation of Locally-Invariant Extremes
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Multigraph Sampling of Online Social Networks
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Bayesian source separation for cosmology
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A Bayesian model and Gibbs sampler for hyperspectral imaging
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Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler
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Non-Linear State Space Modelling of Fisheries Biomass Dynamics by Using Metropolis-Hastings within-Gibbs Sampling
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Analytic convergence rates and parameterisation issues for the Gibbs sampler applied to state space models
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Meiotic drive shapes rates of karyotype evolution in mammals
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A Bayesian Approach to Finite Mixture Models in Bioassay via Data Augmentation and Gibbs Sampling and Its Application to Insecticide Resistance
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Importance reweighting reduces dependence on temperature in Gibbs samplers: an application to the coseismic geodetic inverse problem
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Semiparametric Regression in Capture–Recapture Modeling
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Association of wintering raptors with Conservation Reserve Enhancement Program grasslands in Pennsylvania
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Posterior sampling with improved efficiency
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Influence of land use and climate on wetland breeding birds in the Prairie Pothole region of Canada
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Construção de mapas de objetos para navegação de robôs.
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Geometrical Recombination Operators for Real-Coded Evolutionary MCMCs
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A Tree-Ring-Based Reconstruction of Delaware River Basin Streamflow Using Hierarchical Bayesian Regression
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Equivalence of multibreed animal models and hierarchical Bayes analysis for maternally influenced traits
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Composite likelihood estimation of demographic parameters
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Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome
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Estimation and Prediction for Stochastic Blockstructures
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Independent and Identically Distributed Monte Carlo Algorithms for Semiparametric Linear Mixed Models
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Bayesian Methods for Hidden Markov Models
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Generalizing Swendsen–Wang for Image Analysis
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Using Redundant Parameterizations to Fit Hierarchical Models
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Bayesian Model Fit and Model Comparison
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Challenges in Markov Chain Monte Carlo for Bayesian Neural Networks
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Practical guidelines for Bayesian phylogenetic inference using Markov Chain Monte Carlo (MCMC)
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Practical guidelines for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC)
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Women's Health and the Environment in the 21st Century
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Advances in Uterine Leiomyoma Research: Conference Overview, Summary, and Future Research Recommendations
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Pathology and Pathophysiology of Uterine Smooth-Muscle Tumors
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Epidemiologic Contributions to Understanding the Etiology of Uterine Leiomyomata
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Clinical Decision Making Regarding Leiomyomata: What We Need in the Next Millenium
inferred← citeshttps://doi.org/10.1289/ehp.00108s5883openalex-snapshot
Statistical Issues in Toxicokinetic Modeling: A Bayesian Perspective
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The Privileged Access Model of 1,3-Butadiene Disposition
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Bayesian Characterizations of Properties of Stochastic Processes with Applications
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Reconsidering Mortality Compression and Deceleration: An Alternative Model of Mortality Rates
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Bayesian Linkage Analysis of Categorical Traits for Arbitrary Pedigree Designs
inferred← citeshttps://doi.org/10.1371/journal.pone.0032003openalex-snapshot
Universality of Thermodynamic Constants Governing Biological Growth Rates
inferred← citeshttps://doi.org/10.1371/journal.pone.0096100openalex-snapshot
Protein Thermodynamics Can Be Predicted Directly from Biological Growth Rates
inferred← citeshttps://doi.org/10.1371/journal.pone.0153343openalex-snapshot
The Biokinetic Spectrum for Temperature
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Choice Menus for Mass Customization: An Experimental Approach for Analyzing Customer Demand with an Application to a Web-Based Information Service
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ESTIMATING THE RESPONSE OF RING-NECKED PHEASANTS (PHASIANUS COLCHICUS) TO THE CONSERVATION RESERVE PROGRAM
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A Hierarchical Bayesian Model for a Novel Sparse Partial Diallel Crossing Design
inferred← citeshttps://doi.org/10.1534/genetics.110.115774openalex-snapshot
A Two-Stage Approximation for Analysis of Mixture Genetic Models in Large Pedigrees
inferred← citeshttps://doi.org/10.1590/s0102-311x2000000200022openalex-snapshot
A Bayesian approach to estimate the prevalence of low height-for-age from the prevalence of low weight-for-age
inferred← citeshttps://doi.org/10.1650/condor-13-019-r1.1openalex-snapshot
Land use and climate affect Black Tern, Northern Harrier, and Marsh Wren abundance in the Prairie Pothole Region of the United States
inferred← citeshttps://doi.org/10.17077/etd.qfku6z5fopenalex-snapshot
A Bayesian nonparametric approach to modeling longitudinal growth curves with non-normal outcomes
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Assessing Exposure to Chlorinated Solvents from the Subsurface to Indoor Air Pathway
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HYDRA: AJavaLibrary for Markov Chain Monte Carlo
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BugsXLA: Bayes for the Common Man
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A HIERARCHICAL SPATIAL MODEL OF AVIAN ABUNDANCE WITH APPLICATION TO CERULEAN WARBLERS
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Generative DAGs as an Interface Into Probabilistic Programming with the R Package causact
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Modeling and Mapping Abundance of American Woodcock Across the Midwestern and Northeastern United States
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Fitting Generalized Linear Mixed Models For Point-Referenced Spatial Data
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Natural selection in the origin: how does selection act on snails’ shell colour in the source of a diversified population?
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A Semiparametric Bayesian Approach to the Random Effects Model
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Análisis bayesiano de modelos lineales para datos direccionales considerando la distribución normal bajo proyección
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Some new considerations for the statistical analysis of an assay
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Modelling Complexity and Uncertainty in Fisheries Stock Assessment
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EMC2: An R Package for cognitive models of choice
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How to interpret attentional blink findings? A practical MCMC tool to assess the attentional blink with the eSTST model
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Comparing likelihood-based and likelihood-free approaches to fitting and comparing models of intertemporal choice
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Efficiency of Markov chain Monte Carlo algorithms for Bayesian inference in random regression models
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Methods for spatial hierarchical generalized linear mixed models
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Reliability assessment of structural dynamic systems subject to earthquake-induced tsunamis
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Bayesian analysis of the linear regression constraints by Gibbs sampler
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Experimental and Numerical Studies in Biomedical Engineering
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Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems
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Advancing Chemical Risk Assessment through Human Physiology-Based Biochemical Process Modeling
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How Neighborhood Characteristics Influence Neighborhood Crimes: A Bayesian Hierarchical Spatial Analysis
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Predictive modeling techniques with application to the Cerulean Warbler (Dendroica cerulea) in the Appalachian Mountains Bird Conservation Region
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On infinite-dimensional hierarchical probability models instatistical inverse problems
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Spatiotemporal mapping and detection of mortality cluster due to cardiovascular disease with Bayesian hierarchical framework using integrated nested Laplace approximation: A discussion of suitable statistic applications in Kersa, Oromia, Ethiopia
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Multigraph Sampling of Online Social Networks
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Discrimination for Two Way Models with Insurance Application
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Statistical inference for epidemic processes in a homogeneous community (Part IV of the book Stochastic Epidemic Models and Inference)
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Bayesian Covariance Structure Modeling of Multi-Way Nested Data
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DREAM (D) : an adaptive Markov Chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems
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Development of spatial statistical methods for modelling point-referenced spatial data in malaria epidemiology
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Peer Review #1 of "Adaptive Metropolis-coupled MCMC for BEAST 2 (v0.1)"
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Peer Review #2 of "Adaptive Metropolis-coupled MCMC for BEAST 2 (v0.1)"
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Peer Review #3 of "Adaptive Metropolis-coupled MCMC for BEAST 2 (v0.1)"
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SPACE-TIME MODELS FOR A PANZOOTIC IN BATS, WITH A FOCUS ON THE ENDANGERED INDIANA BAT
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