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Approximation methods

Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK

Patrick Pietzonka, Erik Brorson, [ ... ], Ronojoy Adhikari

Calculating the Malliavin derivative of some stochastic mechanics problems

Paul Hauseux, Jack S. Hale, Stéphane P. A. Bordas

A Study of Memory Effects in a Chess Database

Ana L. Schaigorodsky, Juan I. Perotti, Orlando V. Billoni

A Theoretical Exploration of Birhythmicity in the p53-Mdm2 Network

Wassim Abou-Jaoudé, Madalena Chaves, Jean-Luc Gouzé

Accounting for Location Error in Kalman Filters: Integrating Animal Borne Sensor Data into Assimilation Schemes

Aritra Sengupta, Scott D. Foster, Toby A. Patterson, Mark Bravington

Analysis of the Transient Response of a Dual-Fed RC Transmission Line

Mohsen Dorraki, Gregory K. Cambrell, Derek Abbott

A robust Pearson correlation test for a general point null using a surrogate bootstrap distribution

Alan D. Hutson

Forecast Modelling via Variations in Binary Image-Encoded Information Exploited by Deep Learning Neural Networks

Da Liu, Ming Xu, [ ... ], Sai Liang

An Empirical Comparison of Information-Theoretic Criteria in Estimating the Number of Independent Components of fMRI Data

Mingqi Hui, Juan Li, [ ... ], Zhiying Long

Migration-Selection Balance at Multiple Loci and Selection on Dominance and Recombination

Alexey Yanchukov, Stephen R. Proulx

Dynamic spatiotemporal modeling of the infected rate of visceral leishmaniasis in human in an endemic area of Amhara regional state, Ethiopia

Anteneh Asmare Godana, Samuel Musili Mwalili, George Otieno Orwa

Experimental Design for Stochastic Models of Nonlinear Signaling Pathways Using an Interval-Wise Linear Noise Approximation and State Estimation

Christoph Zimmer

Robustness Analysis of Stochastic Biochemical Systems

Milan Česka, David Šafránek, Sven Dražan, Luboš Brim

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