Results 91 to 100 of about 192,524 (234)

Multi-Dimensional Markov Chains of M/G/1 Type

Mathematics
We consider an irreducible discrete-time Markov process with states represented as (k, i) where k is an M-dimensional vector with non-negative integer entries, and i indicates the state (phase) of the external environment.
Valeriy Naumov, Konstantin Samouylov
doaj   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source

Analysing ill-conditioned Markov chains. [PDF]

Philos Trans A Math Phys Eng Sci, 2023
Woods EJ, Kannan D, Sharpe DJ, Swinburne TD, Wales DJ.   +4 more
europepmc   +1 more source

Reweighting Scheme for the Calculation of Grand‐Canonical Expectation Values in Quantum Monte Carlo Simulations With a Fermion Sign Problem

Contributions to Plasma Physics, EarlyView.
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann, Jan Vorberger, Tobias Dornheim   +2 more
wiley   +1 more source

Twenty years of dynamic occupancy models: a review of applications and look to the future

Ecography, EarlyView.
Since their introduction over 20 years ago, dynamic occupancy models (DOMs) have become a powerful and flexible framework for estimating species occupancy across space and time while accounting for imperfect detection. As their popularity has increased and extensions have further expanded their capabilities, DOMs have been applied to increasingly ...
Saoirse Kelleher, Gurutzeta Guillera-Arroita, Jane Elith, Natalie J. Briscoe   +3 more
wiley   +1 more source

Semigroups, rings, and Markov chains

, 1999
We analyze random walks on a class of semigroups called ``left-regular bands''. These walks include the hyperplane chamber walks of Bidigare, Hanlon, and Rockmore.
Brown, Kenneth S.
core   +2 more sources

Markov chains as a proxy for the predictive memory representations underlying mismatch negativity. [PDF]

Front Hum Neurosci, 2023
Schröger E, Roeber U, Coy N.
europepmc   +1 more source

Habitat complexity and prey composition shape an apex predator's habitat use across contrasting landscapes

Ecography, EarlyView.
The spatial ecology of stalk‐and‐ambush predators like the Eurasian lynx Lynx lynx depends on prey availability and environmental features, yet the relative roles of these factors remain unclear at large spatial scales. In this study, we analysed lynx habitat use across central and southern Finland using snow‐track data from the Wildlife Triangle ...
Francesca Malcangi, Caio Graco‐Roza, Andreas Lindén, Janne Sundell, John Loehr   +4 more
wiley   +1 more source

Improving models for student retention and graduation using Markov chains. [PDF]

PLoS One, 2023
Tedeschi MN, Hose TM, Mehlman EK, Franklin S, Wong TE.   +4 more
europepmc   +1 more source

Cross‐scale interactions mediate local drivers of nonnative species richness

Ecography, EarlyView.
Many well‐supported hypotheses seek to explain drivers of nonnative species richness across spatial scales, but evidence for common patterns among regions and taxa remains inconclusive. This study investigates why consistent patterns are elusive by estimating and assessing cross‐scale interactions, wherein large‐scale factors contextualize patterns ...
Lily M. Thompson, William K. Annis, Stephen R. Midway, Julian D. Olden, Brandon K. Peoples   +4 more
wiley   +1 more source