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Bayesian Analysis of Stochastic Process Models

treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling;

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Flowgraph Models For Multistate Time-To-Event Data

processes without prior knowledge of stochastic processes----opening the door to interesting applications in survival analysis and reliability as;

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Bayesian Inference for Stochastic Processes

types of processes Based on realizations from stochastic processes, the WinBUGS package will provide the Bayesian analysis;

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Bayesian Inference for Stochastic Processes

Based on realizations from stochastic processes, the WinBUGS package will provide the Bayesian analysis (estimation, testing hypotheses, and;

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Analytically Tractable Stochastic Stock Price Models

Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Bayesian Modeling in Bioinformatics

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high;

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Handbook of Probabilistic Models

regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian;

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Recent Advances In Stochastic Modeling And Data Analysis

various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics;

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Bayesian Analysis with Python

statistical problems using Python; * Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems;

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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical;

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Particle Filters for Random Set Models

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and;

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Bayesian Analysis with Python

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features A step-by-step guide to conduct Bayesian;

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Bayesian Analysis of Linear Models

,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and;

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Bayesian Analysis of Linear Models

,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and;

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Hybrid Systems Biology

population models in biology (e.g. mixed-effects and Bayesian modeling); biological applications of quantitative and formal analysis techniques (e.g;

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Stochastic Geometry for Image Analysis

This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are described: marked point process;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Bayesian Analysis of Infectious Diseases

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary;

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Stochastic Biomathematical Models

systems. Recent advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and;

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Modeling and Analysis of Stochastic Systems

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the;

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Modeling and Analysis of Stochastic Systems

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the;

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Bayesian Inference in the Social Sciences

analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation;

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Bayesian Evolutionary Analysis with BEAST

What are the models used in phylogenetic analysis and what exactly is involved in Bayesian evolutionary analysis using Markov chain Monte;

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Stochastic Modelling for Systems Biology, Third Edition

of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition;

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Stochastic Modelling for Systems Biology, Third Edition

of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition;

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using;

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