Results 91 to 100 of about 1,805 (213)
On Spatial Point Processes With Composition‐Valued Marks
International Statistical Review, EarlyView.Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt +2 more
wiley +1 more source
A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces
International Statistical Review, EarlyView.Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri +3 more
wiley +1 more source
Language Learning, EarlyView.Abstract Parallel tracking of distant relations between speech elements, so‐called nonadjacent dependencies (NADs), is crucial in language development but computationally demanding and acquired only in late preschool years. As processing of single NADs is facilitated when dependent elements are perceptually similar, we investigated how phonetic ...
Dimitra‐Maria Kandia +3 more
wiley +1 more source
Effective computation of base points of two-dimensional ideals
, 2017 Universitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística. Departament de Matemàtica Aplicada I. Treball Final de Màster: Master of Science in Advanced Mathematics and Mathematical Engineering.This works focus on computational aspects
Blanco Fernández, Guillem
core
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
Mathematical Finance, EarlyView.ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Preparação e caracterização de novos anfifílicos funcionalizados com (oligo-e polissacarídeos) [PDF]
, 2012 Tese (doutorado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas, Programa de Pós-Graduação em Quimica, Florianópolis, 2011Esta tese relata a preparação e caracterização de novos anfifílicos do tipo rod-coil ...
Dal-bó, Alexandre Gonçalves
core
Is A Little Learning Dangerous?
Noûs, EarlyView.ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
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
School Science and Mathematics, EarlyView.ABSTRACT This study investigates the impact of problem‐posing on the mathematical proficiency and engagement of 56 Developmental Mathematics (DM) students enrolled in a noncredit college mathematics course. Using a quasi‐experimental design, one of two existing classes was selected as the experimental group and received a 5‐week intervention focused on
John Sevier +2 more
wiley +1 more source
School Science and Mathematics, EarlyView.ABSTRACT This study examines the predictive relationships among early mathematics and reading achievement, school discipline, and later mathematics performance for Black students. Using path analysis, we analyze a cohort of 36,668 Black students in Texas public schools from fourth to seventh grade.
Micayla Gooden +3 more
wiley +1 more source