Results 31 to 40 of about 39,038 (168)
The language of nonlinear dynamical systems and ergodic theory is used to present a theoretical framework for the study of mind. The basic space X consists of the collection of all brain images (clusters of activated neurons) that are relevant to ...
Abraham Boyarsky
doaj +1 more source
Uniform ergodicity and the one-sided ergodic Hilbert transform
17 ...
Cohen, Guy, Lin, Michael
openaire +2 more sources
Breaking the game: the traversal of the emergent narrative in video games
In video games the player’s actions shape the narrative of their personal experience, molding what otherwise would be a linear course. This emergent narrative is in a state of constant transformation, dependent on how the player influences it. This paper
Pedro Cardoso, Miguel Carvalhais
doaj +1 more source
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne +2 more
wiley +1 more source
Self-Similar Corrections to the Ergodic Theorem for the Pascal-Adic Transformation
Let T be the Pascal-adic transformation. For any measurable function g, we consider the corrections to the ergodic theorem sum_{k=0}^{j-1} g(T^k x) - j/l sum_{k=0}^{l-1} g(T^k x).
Falconer K. +8 more
core +4 more sources
Forecasting Natural Gas Prices in Real Time
ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
METHOD FOR ANALYSING NON-ERGODIC MARKOV SYSTEMS
. The object of study is a non-ergodic Markov system functioning under conditions when there is a subset of absorbing states among the set of possible states.
L. G. Raskin +3 more
doaj +1 more source
Ensemble Kalman filter in latent space using a variational autoencoder pair
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans +4 more
wiley +1 more source
On the spectrum of $\alpha$-rigid maps
It is shown that there exists an $\alpha$-rigid transformation with $\alpha$ less or equal to $\frac12$ whose spectrum has Lebesgue component. This answers the question raised by Klemes and Reinhold in \cite{Klemes-Reinhold}.
Abdalaoui, El Houcein El
core +6 more sources
Data assimilation with extremum Monte Carlo methods
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source

