Debiasing piecewise deterministic Markov process samplers using couplings
Abstract Monte Carlo methods—such as Markov chain Monte Carlo (MCMC) and piecewise deterministic Markov process (PDMP) samplers—provide asymptotically exact estimators of expectations under a target distribution. There is growing interest in alternatives to this asymptotic regime, in particular in constructing estimators that are exact in the limit of ...
Adrien Corenflos +2 more
wiley +1 more source
Haematological dynamics following treatment of visceral leishmaniasis: a protocol for systematic review and individual participant data (IPD) meta-analysis. [PDF]
Munir A +16 more
europepmc +1 more source
Equilibrium positions, shape invariance and Askey–Wilson polynomials [PDF]
Satoru Odake, Ryu Sasaki
openalex +1 more source
Tensor product of principal unitary representations of quantum Lorentz group and Askey–Wilson polynomials [PDF]
E. Buffenoir, Ph. Roche
openalex +1 more source
Direct Products for the Hamiltonian Density Property. [PDF]
Andrist RB, Huang G.
europepmc +1 more source
Study on the Tensile Behavior of Woven Non-Woven PLA/OLA/MgO Electrospun Fibers. [PDF]
Leonés A +3 more
europepmc +1 more source
Degenerations of Sklyanin algebra and Askey-Wilson polynomials [PDF]
A. S. Gorsky +3 more
openalex +1 more source
Estimating (Non)Linear Selection on Reaction Norms: A General Framework for Labile Traits. [PDF]
Martin JS +4 more
europepmc +1 more source
Fractional dynamic system simulating the growth of microbe. [PDF]
Hadid SB, Ibrahim RW.
europepmc +1 more source
A Preliminary Report on an Adaptive Word-Recognition Protocol That Generates Word-Recognition Functions. [PDF]
Wilson RH, McCullough JA.
europepmc +1 more source

