Results 161 to 170 of about 424,995 (268)
The 3d Mixed BF Lagrangian 1-Form: A Variational Formulation of Hitchin's Integrable System. [PDF]
Caudrelier V +3 more
europepmc +1 more source
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
Statistical control of relaxation and synchronization in open anyonic systems. [PDF]
Bittner ER, Tyagi B.
europepmc +1 more source
Understanding the mechanisms controlling community diversity is a central, topic in ecology, particularly in microbial ecology. Although species pools and local assembly processes are believed to play non‐negligible roles in shaping the within‐community (α) and among‐community (β) diversity of microbial communities, their relative importance as ...
Xiao Zhang +10 more
wiley +1 more source
Highest-Weight Vectors and Three-Point Functions in GKO Coset Decomposition. [PDF]
Bershtein M, Feigin B, Trufanov A.
europepmc +1 more source
The Legacy of Policy Inaction in Climate‐Growth Models
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
Compatibility of Drinfeld presentations for split affine Kac-Moody quantum symmetric pairs. [PDF]
Li JR, Przeździecki T.
europepmc +1 more source
Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels
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 +2 more
wiley +1 more source
Real-Time Cascaded State Estimation Framework on Lie Groups for Legged Robots Using Proprioception. [PDF]
Liu B +6 more
europepmc +1 more source
A Comparative Review of Specification Tests for Diffusion Models
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source

