Results 1 to 10 of about 717 (30)
Exact sampling and counting for fixed-margin matrices [PDF]
The uniform distribution on matrices with specified row and column sums is often a natural choice of null model when testing for structure in two-way tables (binary or nonnegative integer).
Harrison, Matthew T., Miller, Jeffrey W.
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Simulation-based model selection for dynamical systems in systems and population biology [PDF]
Computer simulations have become an important tool across the biomedical sciences and beyond. For many important problems several different models or hypotheses exist and choosing which one best describes reality or observed data is not straightforward ...
Addy +41 more
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Gradient free parameter estimation for hidden Markov models with intractable likelihoods [PDF]
In this article we focus on Maximum Likelihood estimation (MLE) for the static model parameters of hidden Markov models (HMMs). We will consider the case where one cannot or does not want to compute the conditional likelihood density of the observation ...
Ehrlich, E, Jasra, A, Kantas, N
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Getting Started with Particle Metropolis-Hastings for Inference in Nonlinear Dynamical Models [PDF]
This tutorial provides a gentle introduction to the particle Metropolis-Hastings (PMH) algorithm for parameter inference in nonlinear state-space models together with a software implementation in the statistical programming language R.
Dahlin, Johan, Schön, Thomas B.
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Introduction to SamplerCompare [PDF]
SamplerCompare is an R package for comparing the performance of Markov chain Monte Carlo (MCMC) samplers. It samples from a collection of distributions with a collection of MCMC methods over a range of tuning parameters.
Madeleine B. Thompson
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Transmuted Lindley-Geometric Distribution and its applications
A functional composition of the cumulative distribution function of one probability distribution with the inverse cumulative distribution function of another is called the transmutation map.
Elbatal, Ibrahim, Merovci, Faton
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Data-driven modelling of biological multi-scale processes
Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales.
Hasenauer, Jan +3 more
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Metropolis-Hastings within Partially Collapsed Gibbs Samplers [PDF]
The Partially Collapsed Gibbs (PCG) sampler offers a new strategy for improving the convergence of a Gibbs sampler. PCG achieves faster convergence by reducing the conditioning in some of the draws of its parent Gibbs sampler.
Jiao, Xiyun, van Dyk, David A.
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Considerate Approaches to Achieving Sufficiency for ABC model selection
For nearly any challenging scientific problem evaluation of the likelihood is problematic if not impossible. Approximate Bayesian computation (ABC) allows us to employ the whole Bayesian formalism to problems where we can use simulations from a model ...
Chris Barnes +4 more
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On the convergence of adaptive sequential Monte Carlo methods [PDF]
In several implementations of Sequential Monte Carlo (SMC) methods it is natural and important, in terms of algorithmic efficiency, to exploit the information of the history of the samples to optimally tune their subsequent propagations.
Beskos, A +3 more
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