Results 51 to 60 of about 90,888 (192)

Stable Price Dispersion under Heterogeneous Buyer Consideration

The RAND Journal of Economics, Volume 57, Issue 1, Page 103-121, Spring 2026.
ABSTRACT We study the pricing of homogeneous products sold to customers who consider different sets of suppliers. We identify prices that are stable in the sense that no firm wishes to undercut a rival or to raise its price when rivals are able to respond by offering special deals.
David P. Myatt, David Ronayne
wiley   +1 more source

Gaming the system through temporary housing: Real estate intermediaries and the law in short‐term rental markets

Transactions of the Institute of British Geographers, Volume 51, Issue 1, March 2026.
Abstract This article contributes empirical and conceptual insights to emerging debates on the regulation of short‐term rentals (STRs) by delving into the socio‐legal foundations of this housing market segment. Drawing on a qualitative study conducted between September 2022 and June 2023 focused on the governance of for‐profit temporary housing (i.e ...
Ifigeneia Dimitrakou
wiley   +1 more source

Rearranging Edgeworth-Cornish-Fisher expansions [PDF]

This paper applies a regularization procedure called increasing rearrangement to monotonize Edgeworth and Cornish-Fisher expansions and any other related approximations of distribution and quantile functions of sample statistics.
Alfred Galichon, Victor Chernozhukov, Ivan Fernandez-Val   +2 more
core  

Digital Twin‐Driven Dynamic Probabilistic Power Flow in Distribution Networks via Semi‐Invariant Method

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
The article proposes a digital twin‐driven probabilistic power flow framework that dynamically updates the probability distribution model parameters for wind, solar and load based on real‐time data. It combines the semi‐invariant method and Gram–Charlier series expansion to dynamically update the probability distribution of node voltages. ABSTRACT With
Ping Zhang, Jian Jiang, Yuanjun Huang, Hongliang Tang, Yue Chen, Lei Shen   +5 more
wiley   +1 more source

List pricing and pure strategy outcomes in a Bertrand-Edgeworth duopoly [PDF]

, 2003
Non-existence of a pure strategy equilibrium in a Bertrand-Edgeworth duopoly model is analyzed. The standard model is modified to include a list pricing stage and a subsequent price discounting stage. Both firms first simultaneously choose a maximum list
García Díaz, Antón, Kujal, Praveen
core   +1 more source

Model‐Event Joint‐Driven Risk Assessment Method for Wind Turbine Failures in Sandy‐Gobi‐Desert Regions

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This study proposes a model–event joint‐driven risk assessment method for wind turbine failures in Sandy‐Gobi‐Desert regions, integrating physical load modelling of wind–sand interactions with event‐based modelling of multi‐process structural degradation.
Chen Cao, Zhe Lv, Zengping Wang, Tong Wang   +3 more
wiley   +1 more source

Edgeworth Expansions for Spectral Density Estimates and Studentized Sample Mean - (Now published in Economic Theory, 17 (2001), pp.497-539. [PDF]

We establish valid Edgeworth expansions for the distribution of smoothed nonparametric spectral estimates, and of studentized versions of linear statistics such as the same mean, where the studentization employs such a nonparametric spectral estimate ...
Carlos Velasco, Peter M Robinson
core  

Neural network field theories: non-Gaussianity, actions, and locality

Machine Learning: Science and Technology
Both the path integral measure in field theory (FT) and ensembles of neural networks (NN) describe distributions over functions. When the central limit theorem can be applied in the infinite-width (infinite- N ) limit, the ensemble of networks ...
Mehmet Demirtas, James Halverson, Anindita Maiti, Matthew D Schwartz, Keegan Stoner   +4 more
doaj   +1 more source

Probabilistic Power Flow Analysis Based on Distribution‐to‐Distribution Deep Neural Network

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
This paper proposes an accelerated PPF solution method based on distribution‐to‐distribution deep neural network regression, which directly maps input probability distributions to the corresponding output distributions. Unlike Monte Carlo simulation–based PPF methods, the proposed approach requires no sampling at inference time.
Pin‐Xian Ye, Kin Cheong Sou
wiley   +1 more source

Assessing Confidence Intervals for the Tail Index by Edgeworth Expansions for the Hill Estimator [PDF]

AMS classifications: 62G20, 62G32;asymptotic normality;confidence intervals;Edgeworth expansions;extreme value index;Hill estimator;regular variation;tail ...
Segers, J., Haeusler, E.
core