Results 31 to 40 of about 23,064 (196)

General and consistent statistics for cosmological observations

open access: yesPhysical Review Research, 2020
This paper focuses on two aspects of the statistics of cosmological observables that are important for the next stages of precision cosmology. First, we note that the theory of reduced angular N-point spectra has only been developed in detail up to the ...
Ermis Mitsou   +4 more
doaj   +1 more source

Nörlund means of the sequence of the iterates of a bounded linear operator, and spectral properties [PDF]

open access: yesMathematica Bohemica
We are concerned here with relating the spectral properties of a bounded linear operator $T$ on a Banach space to the behaviour of the means $(1/{s(n)})\sum_{k=0}^n(\Delta s)(n-k)T^k$, where $s$ is a nondecreasing sequence of positive real numbers, and $\
Laura Burlando
doaj   +1 more source

Fluctuations of ergodic averages

open access: yesIllinois Journal of Mathematics, 1999
The goal of the paper is to get some universal estimates for the probability that there are many fluctuations in the ergodic averages. The methods involve an effective Vitali type covering theorem and are valid for \(\mathbb{Z}^d\) actions, for any \(d\in\mathbb{N}\). Theorem.
Kalikow, Steven, Weiss, Benjamin
openaire   +3 more sources

Finite-range viscoelastic subdiffusion in disordered systems with inclusion of inertial effects

open access: yesNew Journal of Physics, 2020
This work justifies further paradigmatic importance of the model of viscoelastic subdiffusion in random environments for the observed subdiffusion in cellular biological systems.
Igor Goychuk, Thorsten Pöschel
doaj   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

open access: yesCanadian Journal of Statistics, EarlyView.
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

Convergence of weighted polynomial multiple ergodic averages

open access: yes, 2008
We study here weighted polynomial multiple ergodic averages. A sequence of weights is called universally good if any polynomial multiple ergodic average with this sequence of weights converges in $L^{2}$.
Chu, Qing
core   +3 more sources

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Unimodular lattice triangulations as small-world and scale-free random graphs

open access: yesNew Journal of Physics, 2015
Real-world networks, e.g., the social relations or world-wide-web graphs, exhibit both small-world and scale-free behaviour. We interpret lattice triangulations as planar graphs by identifying triangulation vertices with graph nodes and one-dimensional ...
B Krüger, E M Schmidt, K Mecke
doaj   +1 more source

Weighted multiple ergodic averages and correlation sequences

open access: yes, 2016
We study mean convergence results for weighted multiple ergodic averages defined by commuting transformations with iterates given by integer polynomials in several variables.
Frantzikinakis, Nikos, Host, Bernard
core   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu   +4 more
wiley   +1 more source

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