Dani Gamerman – författare
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13 produkter
Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference
Av Dani Gamerman, Hedibert F. Lopes m. fl.
Inbunden, 2026
2515 kr
Lägg i varukorg
Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fields of statistics and the broader landscape of data science over the past two decades. …
Building a Platform for Data-Driven Pandemic Prediction
From Data Modelling to Visualisation - The CovidLP Project
Av Dani Gamerman, Marcos O. Prates m. fl.
Häftad, 2021
1059 kr
Lägg i varukorg
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive …
Building a Platform for Data-Driven Pandemic Prediction
From Data Modelling to Visualisation - The CovidLP Project
Av Dani Gamerman, Marcos O. Prates m. fl.
Inbunden, 2021
2831 kr
Lägg i varukorg
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive …
Building a Platform for Data-Driven Pandemic Prediction
From Data Modelling to Visualisation - The CovidLP Project
Av Vinicius D. Mayrink, Thais Paiva m. fl.
E-bok, 2021
1248 kr
Lägg i varukorg
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive …
Building a Platform for Data-Driven Pandemic Prediction
From Data Modelling to Visualisation - The CovidLP Project
Av Vinicius D. Mayrink, Thais Paiva m. fl.
E-bok, 2021
1248 kr
Lägg i varukorg
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive …
Statistical Inference
An Integrated Approach, Second Edition
Av Helio S. Migon, Dani Gamerman m. fl.
E-bok, 2014
1864 kr
Lägg i varukorg
This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empirical Bayes and penalized likelihoods and their impact on regression models and offers expanded …
Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference, Second Edition
Av Hedibert F. Lopes, Dani Gamerman
E-bok, 2006
1714 kr
Lägg i varukorg
While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new …
Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference
Av Flavio Bambirra Goncalves, Hedibert F. Lopes m. fl.
E-bok, 2026
1067 kr
Lägg i varukorg
Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fields of statistics and the broader landscape of data science over the past two decades. …
Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference
Av Dani Gamerman, Hedibert F. Lopes m. fl.
Häftad, 2026
926 kr
Lägg i varukorg
Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fields of statistics and the broader landscape of data science over the past two decades. …
Statistical Inference
An Integrated Approach, Second Edition
Av Helio S. Migon, Dani Gamerman m. fl.
Inbunden, 2014
1830 kr
Lägg i varukorg
A Balanced Treatment of Bayesian and Frequentist InferenceStatistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both …
Statistical Inference
An Integrated Approach, Second Edition
Av Helio S. Migon, Dani Gamerman m. fl.
E-bok, 2014
1905 kr
Lägg i varukorg
This text presents a balanced account of the Bayesian and frequentist approaches to statistical inference. Along with more examples and exercises, this second edition includes new material on empirical Bayes and penalized likelihoods and their impact on regression models and offers expanded …
Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference, Second Edition
Av Hedibert F. Lopes, Dani Gamerman
E-bok, 2006
1714 kr
Lägg i varukorg
While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new …
Markov Chain Monte Carlo
Stochastic Simulation for Bayesian Inference, Second Edition
Av Dani Gamerman, Hedibert F. Lopes
Inbunden, 2006
1830 kr
Lägg i varukorg
While there have been few theoretical contributions on the Markov Chain Monte Carlo (MCMC) methods in the past decade, current understanding and application of MCMC to the solution of inference problems has increased by leaps and bounds. Incorporating changes in theory and highlighting new …
