Results 111 to 120 of about 77,404 (196)

Optimal Simple Ratings

open access: yesThe Journal of Industrial Economics, EarlyView.
ABSTRACT We study optimal simple rating systems that partition sellers into a finite number of tiers. We show that optimal ratings must be threshold partitions, and that for linear supply and Cournot competition with constant marginal cost, optimal thresholds solve a k‐means clustering problem requiring only the quality distribution.
Hugo Hopenhayn, Maryam Saeedi
wiley   +1 more source

Validation of machine learning based scenario generators

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley   +1 more source

The Core‐Periphery Model Under Additively Separable Preferences

open access: yesJournal of Regional Science, Volume 65, Issue 2, Page 378-402, March 2025.
ABSTRACT This paper reexamines Krugman's core‐periphery model by substituting his constant elasticity of substitution (CES) utility with a general additively separable utility that comprehensively captures the pro‐competitive effect while preserving the income effect.
Congcong Wang, Dao‐Zhi Zeng, Xiwei Zhu
wiley   +1 more source

RESP, más internacional More international RESP

open access: yesRevista Española de Sanidad Penitenciaria, 2008
A. Marco, J.M. Arroyo
doaj  

Longitudinal cardiorespiratory wearable sleep staging in the home. [PDF]

open access: yesFront Neurosci
Davidson S   +6 more
europepmc   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

MiMiCPy-FM: A User-Friendly Force Matching Tool for Extending the Time Scale of QM/MM MD MiMiC Simulations. [PDF]

open access: yesJ Chem Inf Model
Shivakumar S   +8 more
europepmc   +1 more source

Estimation of Change Points for Non‐Linear (Auto‐)Regressive Processes Using Neural Network Functions

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT In this paper, we propose a new test for the detection of a change in a non‐linear (auto‐)regressive time series as well as a corresponding estimator for the unknown time point of the change. To this end, we consider an at‐most‐one‐change model and approximate the unknown (auto‐)regression function by a neural network with one hidden layer. It
Claudia Kirch, Stefanie Schwaar
wiley   +1 more source

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