Results 11 to 20 of about 67,883,804 (80)

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions [PDF]

, 2014
Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Livingstone, Samuel, Samuel Livingstone, Girolami, M, Mark Girolami, Girolami, Mark, Livingstone, S   +5 more
core   +1 more source

Markov chain Monte Carlo methods for state-space models with point process observations [PDF]

, 2012
This letter considers how a number of modern Markov chain Monte Carlo (MCMC) methods can be applied for parameter estimation and inference in state-space models with point process observations.
Niranjan, Mahesan, Girolami, Mark, Yuan, Ke   +2 more
core   +1 more source

Mobility Tracking in Cellular Networks with Sequential Monte Carlo Filters [PDF]

, 2005
This paper considers mobility tracking in wireless communication networks based on received signal strength indicator measurements. Mobility tracking involves on-line estimation of the position and speed of a mobile unit.
Angelova, D., Canagarajah, N., Bull, D., Mihaylova, L.   +3 more
core   +5 more sources

Análise Bayesiana no estudo do tempo de retorno das precipitações pluviais máximas em Jaboticabal (SP) Bayesian analysis for estimating the return period of maximum precipitation at Jaboticabal São Paulo state, Brazil

Ciência e Agrotecnologia, 2009
Dados históricos de precipitação máxima são utilizados para realizar previsões de chuvas extremas, cujo conhecimento é de grande importância na elaboração de projetos agrícolas e de engenharia hidráulica.
Luiz Alberto Beijo, Mário Javier Ferrua Vivanco, Joel Augusto Muniz   +2 more
doaj   +1 more source

Geodesic Monte Carlo on Embedded Manifolds [PDF]

, 2013
Markov chain Monte Carlo methods explicitly defined on the manifold of probability distributions have recently been established. These methods are constructed from diffusions across the manifold and the solution of the equations describing geodesic flows
Simon Byrne, Byrne, Simon, Byrne, S, Girolami, M, Mark Girolami, Girolami, Mark   +5 more
core   +1 more source

Spatio-temporal modelling of coffee berry borer infestation patterns accounting for inflation of zeroes and missing values Modelagem espaço-temporal do padrão de infestação da broca do café levando em consideração excesso de zeros e dados faltantes

Scientia Agricola, 2009
The study of pest distributions in space and time in agricultural systems provides important information for the optimization of integrated pest management programs and for the planning of experiments.
Ramiro Ruiz-Cárdenas, Renato Martins Assunção, Clarice Garcia Borges Demétrio   +2 more
doaj   +1 more source

Markov chain Monte Carlo for integrated face image analysis [PDF]

, 2014
This PhD thesis is about the integration of different methods to fit a statistical model of human faces to a single image. I propose to take a probabilistic view on the problem and implement and evaluate an integrative framework for face image ...
Schönborn, Sandro
core   +1 more source

Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation [PDF]

, 2014
Approximate Bayesian computation has emerged as a standard computational tool when dealing with intractable likelihood functions in Bayesian inference. We show that many common Markov chain Monte Carlo kernels used to facilitate inference in this setting
Łatuszyński, Krzysztof, Lee, Anthony
core   +1 more source

Multi-level Monte Carlo for continuous time Markov chains, with applications in biochemical kinetics [PDF]

, 2011
We show how to extend a recently proposed multi-level Monte Carlo approach to the continuous time Markov chain setting, thereby greatly lowering the computational complexity needed to compute expected values of functions of the state of the system to a ...
Anderson, David, David F. Anderson, Higham, Desmond, Desmond J. Higham, Higham, Desmond J., Anderson, David F.   +5 more
core   +1 more source

conting : an R package for Bayesian analysis of complete and incomplete contingency tables [PDF]

, 2014
The aim of this paper is to demonstrate the R package conting for the Bayesian analysis of complete and incomplete contingency tables using hierarchical log-linear models.
Ruth King, Overstall, Antony, Antony M. Overstall, King, Ruth, Antony M. Overstall, Overstall, Antony M.   +5 more
core   +1 more source