Results 31 to 40 of about 6,700 (112)

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

Journal of Time Series Analysis, EarlyView.
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley   +1 more source

Electric Field‐Induced Phase Transition Behaviour in Sodium Bismuth Titanate‐Based Ceramics

Advanced Energy and Sustainability Research, Volume 7, Issue 3, March 2026.
This review establishes a framework correlating NBT‐based ceramic performance with geometric descriptors: tolerance factors and octahedral tilt strength. It rationalises transitions between ergodic and non‐ergodic relaxor states across major solid solutions.
Hareem Zubairi, Ge Wang
wiley   +1 more source

Clustering processes [PDF]

, 2010
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of consistency, and show that simple consistent algorithms exist, under most ...
Ryabko, Daniil
core   +6 more sources

Forecasting Natural Gas Prices in Real Time

Journal of Applied Econometrics, Volume 41, Issue 2, Page 139-155, March 2026.
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, Florian Huber, Thomas K. Lee, Francesco Ravazzolo   +3 more
wiley   +1 more source

Subsurface Expression of the Lambton Fault and Potential for the Basin Edge Effect in the Wellington Central Business District

New Zealand Journal of Geology and Geophysics, Volume 69, Issue 1, March 2026.
This study focuses on the subsurface structure of the Wellington basin and an assessment of the shaking potential due to the basin edge‐effect at its western margin. Seismic reflection surveys combined with gravity modelling provide data for a structural model from which to base our shaking analysis.
T. A. Stern, J. N. Louie, M. O. Newton, S. B. Thorpe‐Loversuch, A. I. Stronach, W. R. Stratford   +5 more
wiley   +1 more source

Polynomial decay of correlations in linked-twist maps

, 2012
Linked-twist maps are area-preserving, piece-wise diffeomorphisms, defined on a subset of the torus. They are non-uniformly hyperbolic generalisations of the well-known Arnold Cat Map.
Springham, J., Sturman, R.
core   +1 more source

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice

Small Methods, Volume 10, Issue 5, 9 March 2026.
Computational modeling is widely used to investigate electrocatalytic reactions, yet accurately describing electrochemical interfaces remains challenging. This review outlines theoretical and computational strategies, based on density functional theory, to model reaction thermodynamics, solvation effects, applied bias, and kinetics.
Michele Re Fiorentin, Michele G. Bianchi, Magnus A. H. Christiansen, Anna Ciotti, Francesca Risplendi, Wei Wang, Elvar Ö. Jónsson, Hannes Jónsson, Giancarlo Cicero   +8 more
wiley   +1 more source

Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling [PDF]

, 2018
Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several fronts.
Ling, Cong, Wang, Zheng
core   +1 more source

A Comparison of Monte Carlo Based Marginal Likelihood Estimators

WIREs Computational Statistics, Volume 18, Issue 1, March 2026.
Comparison of marginal likelihood estimation methods. ABSTRACT Marginal likelihood plays a central role in Bayesian model comparison and hypothesis testing, but its computation is often challenging in practice. This article reviews recent Monte Carlo methods that rely on the availability of Markov chain Monte Carlo (MCMC) samples from the posterior and
Aolan Li, Pang‐Yu Liu, Yu‐Bo Wang, Analisa Milkey, Paul O. Lewis, Ming‐Hui Chen   +5 more
wiley   +1 more source