Results 51 to 60 of about 17,065,182 (226)
Parameter estimation from multinomial trees to jump diffusions with k means clustering [PDF]
Ever since the pioneering work of Cox, Ross and Rubinstein, tree models have been popular among asset pricing methods. On the other hand, statistical estimation of parameters of tree models has not been studied as much.
Lee, Kiseop, Xu, Mingxin
core
A Technical Note on the Dirichlet-Multinomial Model [PDF]
, 2012 This short note contains an explicit proof of the Dirichlet distribution being the conjugate prior to the Multinomial sample distribution as resulting from the general construction method described, e.g., in Bernardo and Smith (2000).
Walter, Gero
core +1 more source
Learning regime‐dependent governing equations: A symbolic decision tree approach
AIChE Journal, EarlyView.Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai +2 more
wiley +1 more source
Assessing the Effects of Misleading Post-Event Information Using Multinomial Processing Tree Models [PDF]
Multiple studies have shown that misleading post-event information can alter an individual's memory. Three hypotheses (no-conflict, coexistence, destructive updating) have been proposed to explain the fate of the original memory trace and have ...
Riggenbach, Mackenzie
core
Modeling toothpaste brand choice: An empirical comparison of artificial neural networks and multinomial probit model [PDF]
, 2010 Copyright @ 2010 Atlantis PressThe purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector.
Aktas, E +7 more
core +1 more source
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Sequential Hypothesis Tests for Multinomial Processing Tree Models
, 2019 All R scripts and simulation data for the manuscript "Sequential Hypothesis Tests in Multinomial Processing Tree Models" (Schnuerch, Erdfelder, & Heck, 2019)
Martin Schnuerch +2 more
core +2 more sources
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Scientific ReportsThe primary argument for including large numbers of known-to-be innocent fillers in lineups is that guessing-based selections are dispersed among a large number of lineup members, leading to low innocent-suspect identification rates.
Amelie Therre +5 more
doaj +1 more source