Results 61 to 70 of about 20,506 (156)
Repelled Point Processes With Application to Numerical Integration
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
The Ontology of Haag's Local Quantum Physics. [PDF]
Entropy (Basel), 2023 Jaeger G.
europepmc +1 more source
Sparse Minimum Redundancy Maximum Relevance for Feature Selection
Scandinavian Journal of Statistics, EarlyView.ABSTRACT We propose a feature screening method that integrates both feature–feature and feature–target relationships. Inactive features are identified via a penalized minimum Redundancy Maximum Relevance (mRMR) procedure, which is the continuous version of the classical mRMR penalized by a non‐convex regularizer, and where the parameters estimated as ...
Peter Naylor +3 more
wiley +1 more source
Review of Education, Volume 14, Issue 2, August 2026.Abstract Active learning (AL) has emerged as a pedagogical response to diverse educational challenges across multiple disciplines. This scoping review maps the terrain of AL implementation patterns, examining AL practices in Business Education, Information and Communication Technology (ICT) Engineering, Mathematics, and Statistics from 2015 until the ...
Dubravka Novkovic +2 more
wiley +1 more source
AIChE Journal, Volume 72, Issue 6, June 2026.Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi +2 more
wiley +1 more source
Quadratic Hedging of American Options Under GARCH Models
Journal of Futures Markets, Volume 46, Issue 6, Page 1079-1097, June 2026.ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley +1 more source
Networks, Volume 87, Issue 4, Page 343-371, June 2026.ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk +2 more
wiley +1 more source
On the Foundational Arguments of Sufficient Dimension Reduction
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley +1 more source
Strategic Influencers and the Shaping of Beliefs
The RAND Journal of Economics, Volume 57, Issue 2, Page 271-284, Summer 2026.ABSTRACT Influencers, from propagandists to sellers, expend vast resources targeting agents who amplify their message through word‐of‐mouth communication. While agents differ in network position, they also differ in their bias: Agents may naturally read articles with a particular slant or buy products from a certain seller.
Akhil Vohra
wiley +1 more source
Survey‐Based Research for Creativity and Innovation Management: Review and Recommendations
Creativity and Innovation Management, Volume 35, Issue 2, Page 395-410, June 2026.ABSTRACT Survey methodology remains a widely used data collection method in creativity and innovation management studies. However, evolving technological advancements and methodological challenges necessitate a reassessment of best practices to benefit the most from it.
Marco Mismetti +2 more
wiley +1 more source