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WIREs Comp Stat
Wiley Interdisciplinary Reviews:
WIREs Computational Statistics
Volume 12 Issue 4 (July 2020)
Page 0 - 0

Overviews

Analyzing Markov chain Monte Carlo output
Published Online: Jan 28 2020
DOI: 10.1002/wics.1501
Visual representation of the multivariate correlation structure in a Markov chain. Output analysis that accounts for this multivariate structure is able to more accurately summarize variability in the simulation process. We review the output analysis tools for such analyses.
Abstract Full article on Wiley Online Library:   HTML | PDF
A review of approximate Bayesian computation methods via density estimation: Inference for simulator‐models
Published Online: Oct 29 2019
DOI: 10.1002/wics.1486
Posterior inference using simulator models (the Ricker model).
Abstract Full article on Wiley Online Library:   HTML | PDF

Advanced Reviews

Particularities and commonalities of singular spectrum analysis as a method of time series analysis and signal processing
Published Online: Jan 09 2020
DOI: 10.1002/wics.1487
Singular spectrum analysis (SSA) can do many things with time series. The review explains how people from different scientific communities apply SSA.
Abstract Full article on Wiley Online Library:   HTML | PDF
Filtering‐based approaches for functional data classification
Published Online: Jan 06 2020
DOI: 10.1002/wics.1490
Filtering‐based approaches for functional data classification consist of two steps: (i) select (or estimate) a proper set of basis functions and (ii) perform a traditional classification approach on the corresponding Fourier coefficients.
Abstract Full article on Wiley Online Library:   HTML | PDF

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