Results 21 to 30 of about 55,281 (143)

Dyson-Maleev representation of nonlinear sigma-models

, 2008
For nonlinear sigma-models in the unitary symmetry class, the non-linear target space can be parameterized with cubic polynomials. This choice of coordinates has been known previously as the Dyson-Maleev parameterization for spin systems, and we show ...
D A Ivanov, Efetov K B, Efetov K B, Efetov K B, Finkel'stein A M, Kolokolov I V, M A Skvortsov, Maleev S V, Maleev S V, Mehta M L, Ostrovsky P M, Sekatski P, Skvortsov M A, Skvortsov M A, Wilkinson M   +14 more
core   +1 more source

A goodness‐of‐fit test for regression models with discrete outcomes

Canadian Journal of Statistics, EarlyView.
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source

Preservation of algebraicity in free probability [PDF]

, 2014
We show that any matrix-polynomial combination of free noncommutative random variables each having an algebraic law has again an algebraic law. Our result answers a question raised by a recent paper of Shlyakhtenko and Skoufranis. The result belongs to a
Anderson, Greg W.
core   +1 more source

Quasi maximum likelihood estimation for strongly mixing state space models and multivariate L\'evy-driven CARMA processes

, 2012
We consider quasi maximum likelihood (QML) estimation for general non-Gaussian discrete-ime linear state space models and equidistantly observed multivariate L\'evy-driven continuoustime autoregressive moving average (MCARMA) processes.
Schlemm, Eckhard, Stelzer, Robert
core   +1 more source

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Normal random matrix ensemble as a growth problem

, 2004
In general or normal random matrix ensembles, the support of eigenvalues of large size matrices is a planar domain (or several domains) with a sharp boundary.
A. Zabrodin, Agam, Aharonov, Ahlfors, Akemann, Altshuler, Aratyn, Bateman, Bensimon, Bertola, Bertola, Bertola, Chau, Chekhov, Cohn, David, David, Di Francesco, Dijgraaf, Dijgraaf, Dijgraaf, Dijgraaf, Dubrovin, E. Bettelheim, Eynard, Flaschka, Fokas, Galin, Ginibre, Girko, Jimbo, Jimbo, Kapaev, Kazakov, Kostov, Kostov, Krichever, Krichever, Krichever, Kufarev, Mehta, Mineev-Weinstein, O. Agam, P. Wiegmann, Polubarinova-Kochina, R. Teodorescu, Schiffer, Shapiro, Sharon, Takasaki, Wasow, Wiegmann   +51 more
core   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

On the Joint Distribution of Energy Levels of Random Schroedinger Operators

, 2008
We consider operators with random potentials on graphs, such as the lattice version of the random Schroedinger operator. The main result is a general bound on the probabilities of simultaneous occurrence of eigenvalues in specified distinct intervals ...
Bourgain J, Chulaevsky V, Combes J-M Germinet F Klein A, Cox D, Kato T, Michael Aizenman, Simone Warzel   +6 more
core   +1 more source

Efficient Numerical Framework for Geothermal Energy Production Optimization in Fracture‐Controlled Reservoirs

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley   +1 more source

The Rise of Human–Computer Integration in Marketing: A Theory Synthesis

Psychology &Marketing, EarlyView.
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco, Kosuke Motoki, Olivia Petit, Aram Nikolai Andersen, Marzieh Alaei, Anders Gustafsson   +5 more
wiley   +1 more source