Results 11 to 20 of about 135,414 (287)
A Sequential Monte Carlo Method for Motif Discovery [PDF]
IEEE Transactions on Signal Processing, 2008 Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
Kuo-ching Liang +2 more
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Properties of Marginal Sequential Monte Carlo Methods
Statistics & Probability Letters, 2023 We provide a framework which admits a number of ``marginal'' sequential Monte Carlo (SMC) algorithms as particular cases -- including the marginal particle filter [Klaas et al., 2005, in: Proceedings of Uncertainty in Artificial Intelligence, pp.
Francesca R. Crucinio, Adam M. Johansen
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A randomized multi-index sequential Monte Carlo method
Statistics and Computing, 2022 Abstract We consider the problem of estimating expectations with respect to a target distribution with an unknown normalizing constant, and where even the unnormalized target needs to be approximated at finite resolution.
Xinzhu Liang +3 more
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The field of sequential Monte Carlo methods [PDF]
Mathematica Applicanda, 2018 Celem pracy jest zaprezentowanie idei metod filtracji opartych na sekwencyjnej metodzie Monte Carlo, w literaturze nazywanych rowniez metodami filtru cząsteczkowego oraz odniesienia do odpowiedniej literatury. Istote omawianych algorytmow przedstawiamy rozwazając problem estymacji silnie nieliniowych i niegaussowskich modeli przestrzeni stanow.
Katarzyna Brzozowska–Rup +1 more
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Generalised linear mixed model analysis via sequential Monte Carlo sampling [PDF]
, 2008 We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference is often extremely difficult ...
D S. Leslie +5 more
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Energies, 2018 As the number and capacity of photovoltaic (PV) power stations increase, it is of great significance to evaluate the PV-connected power systems in an effective, reasonable, and quick way.
Wenxia Liu +5 more
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Sequential change-point detection in a multinomial logistic regression model
Open Mathematics, 2020 Change-point detection in categorical time series has recently gained attention as statistical models incorporating change-points are common in practice, especially in the area of biomedicine.
Li Fuxiao, Chen Zhanshou, Xiao Yanting
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INVESTIGATION OF BIOLOGICAL OBJECTS IN OPTICAL COHERENCE TOMOGRAPHY WITH DATA PROCESSING BY SEQUENTIAL MONTE CARLO METHOD [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2014 A possibility of sequential Monte Carlo method application for data processing in the full-field optical coherent tomography for studying of biological objects is demonstrated.
M. A. Volynsky +2 more
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Bayesian Modelling, Monte Carlo Sampling and Capital Allocation of Insurance Risks
Risks, 2017 The main objective of this work is to develop a detailed step-by-step guide to the development and application of a new class of efficient Monte Carlo methods to solve practically important problems faced by insurers under the new solvency regulations ...
Gareth W. Peters +2 more
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Fast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method. [PDF]
PLoS Computational Biology, 2014 Loops in proteins are flexible regions connecting regular secondary structures. They are often involved in protein functions through interacting with other molecules.
Ke Tang, Jinfeng Zhang, Jie Liang
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