Results 181 to 190 of about 190,067 (305)

Reverse control of biological networks to restore phenotype landscapes. [PDF]

Sci Adv
Jung I, Hopper C, Jang SH, Yeo H, Cho KH.   +4 more
europepmc   +1 more source

News shocks, consumer confidence and business cycles

Economica, EarlyView.
Abstract We study the causal effects of consumer sentiment shocks on macroeconomic aggregates. By constructing a novel instrument based on major non‐economic news shocks in the USA over 1969–2022, and opinion polls around these events, we identify exogenous changes in consumer confidence.
Syed M. Hussain, Zara Liaqat
wiley   +1 more source

Parametrized systems of generalized polynomial inequalities via linear algebra and convex geometry. [PDF]

Positivity (Dordr)
Müller S, Regensburger G.
europepmc   +1 more source

Reducing the replication time for structural estimations: A successful replication of “An Anatomy of International Trade” using GPU computing

Economic Inquiry, Volume 63, Issue 2, Page 424-440, April 2025.
Abstract Eaton, Kortum, and Kramarz (2011) (EKK) discovered empirical patterns from French manufacturing firms that a baseline firm heterogeneity model could not explain. The authors proposed and estimated a model that closely matches the patterns observed in French data.
Jiatong Zhong
wiley   +1 more source

Matrix-based pagerank control in hypergraphs for semantic text summaries. [PDF]

Sci Rep
Aleja D, Criado R, Criado-Alonso Á, Vera de Salas G.   +3 more
europepmc   +1 more source

The Legacy of Policy Inaction in Climate‐Growth Models

International Economic Review, EarlyView.
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley   +1 more source

A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation. [PDF]

Sci Rep
Bilal M, Lucian-Popa I.
europepmc   +1 more source

Twofold deflation preconditioning of linear algebraic systems. I. Theory

, 1998
L. Y. Kolotilina
semanticscholar   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Machine Learning the Decoherence Property of Superconducting and Semiconductor Quantum Devices from Graph Connectivity. [PDF]

Entropy (Basel)
Fu Q, Liu J, Wang X, Xiong R.
europepmc   +1 more source