Results 51 to 60 of about 1,412,360 (277)
Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]
We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the Expectation- Maximization (EM) algorithm and its Monte Carlo variants.
Davy, Manuel +2 more
core +1 more source
EnergiesThe reliability assesment of large power systems, particularly when considering both generation and transmission facilities, is a computationally demanding and complex problem. The sequential Monte Carlo simulation is arguably the most versatile approach
Erika Pequeno dos Santos +3 more
doaj +1 more source
Reliability Evaluation of a Metro Traction Substation Based on the Monte Carlo Method
IEEE Access, 2019 The study of a metro traction power supply system reliability makes a significant contribution to researching on new power supply principles and configuration, and also providing a reference for system design and operation.
Kunpeng Li +4 more
doaj +1 more source
Accelerated Iterated Filtering
Austrian Journal of Statistics, 2023 Simulation-based inferences have attracted much attention in recent years, as the direct computation of the likelihood function in many real-world problems is difficult or even impossible.
Dao Nguyen
doaj +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
FEBS Open Bio, EarlyView.Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Statistical Inference for Partially Observed Markov Processes via the R Package pomp
Journal of Statistical Software, 2016 Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis.
Aaron A. King +2 more
doaj +1 more source
Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA
FEBS Open Bio, EarlyView.PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro +1 more
wiley +1 more source
A Simple Method for Testing Independence of High-Dimensional Random Vectors
Austrian Journal of Statistics, 2016 A simple, data-driven and computationally efficient procedure for testing independence of high-dimensional random vectors is proposed. The procedure is based on interpretation of testing goodness-of-fit as the classification problem, a special sequential
Gintautas Jakimauskas +2 more
doaj +1 more source
Sequential Monte Carlo bandits
Foundations of Data ScienceThe software used for this study is publicly available at https://github.com/iurteaga ...
Urteaga, Iñigo, Wiggins, Chris H.
openaire +2 more sources
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo [PDF]
, 2011 Approximate Bayesian computation (ABC) has gained popularity over the past few years for the analysis of complex models arising in population genetics, epidemiology and system biology.
Barnes, C +7 more
core