Results 101 to 110 of about 285,691 (282)

Prior for Structural Materials

EPJ Web of Conferences, 2012
The construction of a library containing prior cross sections and related covariance matrices for nine frequently measured reaction channels of 276 structural materials from 1 to 150 MeV is presented.
Wildpaner V., Srdinko Th., Leeb H., Gundacker St., Neudecker D.   +4 more
doaj   +1 more source

Estimating High Dimensional Covariance Matrices and its Applications [PDF]

Estimating covariance matrices is an important part of portfolio selection, risk management, and asset pricing. This paper reviews the recent development in estimating high dimensional covariance matrices, where the number of variables can be greater ...
Jushan Bai, Shuzhong Shi
core  

Covariance matrices and valuations

Advances in Applied Mathematics, 2013
The moment matrix of a function \(f\) of real variables \(x_1,\dots,x_n\) is the matrix, whose \((i,j)\)-th entry is the integral of \(x_i x_j f\) over \(\mathbb{R}^n\). The moment matrix can be regarded as a matrix-valued valuation on the space of functions with finite second moments: recall that a valuation on a space of functions \(L\) is a function
openaire   +1 more source

Discovery of an Adaptive Neuroimmune Response Driving Itch and Fast Tick Removal with Implications for Preventing Pathogen Transmission

Advanced Science, EarlyView.
Doehl et al. discovered an adaptive neuroimmune mechanism that induces itch in tick‐exposed guinea pigs, enabling rapid tick removal. This itch‐induced tick removal (IITR) is mediated by an adaptive cellular immune response and is independent of IgG, IgE, or TRPV1.
Johannes S. P. Doehl, Tiago D. Serafim, Serena Doh, Charles S. Grugan, Eva Iniguez, Luana Rogerio, Ronja Frigard, Ranadhir Dey, Pedro Cecilio, Xinglong Gu, Pang‐Yen Tseng, Aline da Silva Moreira, Mahnaz Minai, James Oristian, Hans Ackerman, Steven Brooks, Caroline Percopo, Siu‐Ping Ng, Derron A. Alves, Lucas Tirloni, Jennifer M. Anderson, Adriana Marques, Fabiano Oliveira, Shaden Kamhawi, Daniel E. Sonenshine, José M. C. Ribeiro, Mark Hoon, Jesus G. Valenzuela   +27 more
wiley   +1 more source

Modeling covariance matrices via partial autocorrelations

Journal of Multivariate Analysis, 2009
We study the role of partial autocorrelations in the reparameterization and parsimonious modeling of a covariance matrix. The work is motivated by and tries to mimic the phenomenal success of the partial autocorrelations function (PACF) in model formulation, removing the positive-definiteness constraint on the autocorrelation function of a stationary ...
Department of Statistics, University of Florida, United States ( host institution ), Daniels, M.J., Pourahmadi, M.   +2 more
openaire   +4 more sources

4‐Hydroxybenzyl Alcohol Mitigates Hyperlipidemia‐Associated Depression by Inhibiting Neuroinflammation via the NKIRAS2/NF‐κB Pathway

Advanced Science, EarlyView.
4‐HBA upregulates NKIRAS2 levels, inhibiting the activation of the NF‐κB pathway and subsequently reducing the levels of neuroinflammatory markers. This modulation helps restore normal mood and behavior in hyperlipidemic conditions, providing a potential therapeutic strategy for managing hyperlipidemia‐associated depression.
Ying Zhang, Meng Teng, Wenxuan He, Lanzhou Li, Yongfeng Zhang, Shimiao Wang, Chunyue Wang, Di Wang   +7 more
wiley   +1 more source

Unconstrained Metropolis–Hastings Sampling of Covariance Matrices

Journal of Probability and Statistics
Markov chain Monte Carlo (MCMC), the predominant algorithm for fitting hierarchal models to data in a Bayesian setting, relies on the ability to sample from the full conditional distributions of unobserved parameters.
Daniel Turek
doaj   +1 more source

AI‐Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue

Advanced Science, EarlyView.
A fully integrated vibration‐assisted capsule is presented for the minimally invasive detection of bowel lesions. The capsule incorporates a wireless sensor and an eccentric motor to probe tissue mechanics in situ. By coupling triaxial vibration signals with AI‐based classification and analytical modeling, the system enables early, non‐visual ...
Xizheng Fang, Yao Yan, Kenneth Omokhagbo Afebu, Andrew Bickerdike, Bo Tian, Yang Liu, Shyam Prasad   +6 more
wiley   +1 more source

Combination of KLOE σ (e + e − → π+π−γ(γ)) measurements and determination of a μ π + π − $$ {a}_{\mu}^{\pi^{+}{\pi}^{-}} $$ in the energy range 0.10 < s < 0.95 GeV2

Journal of High Energy Physics, 2018
The three precision measurements of the cross section σ(e + e − → π + π −γ(γ)) using initial state radiation by the KLOE collaboration provide an important input for the prediction of the hadronic contribution to the anomalous magnetic moment of the muon.
The KLOE-2 collaboration, A. Anastasi, D. Babusci, M. Berlowski, C. Bloise, F. Bossi, P. Branchini, A. Budano, L. Caldeira Balkeståhl, B. Cao, F. Ceradini, P. Ciambrone, F. Curciarello, E. Czerwinski, G. D’Agostini, E. Danè, V. De Leo, E. De Lucia, A. De Santis, P. De Simone, A. Di Cicco, A. Di Domenico, D. Domenici, A. D’Uffizi, A. Fantini, G. Fantini, P. Fermani, S. Fiore, A. Gajos, P. Gauzzi, S. Giovannella, E. Graziani, V. L. Ivanov, T. Johansson, X. Kang, D. Kisielewska-Kaminska, E. A. Kozyrev, W. Krzemien, A. Kupsc, S. Loffredo, P. A. Lukin, G. Mandaglio, M. Martini, R. Messi, S. Miscetti, G. Morello, D. Moricciani, P. Moskal, A. Passeri, V. Patera, E. Perez del Rio, N. Raha, P. Santangelo, M. Schioppa, A. Selce, M. Silarski, F. Sirghi, E. P. Solodov, L. Tortora, G. Venanzoni, W. Wislicki, M. Wolke, A. Keshavarzi, S.E. Müller, T. Teubner   +64 more
doaj   +1 more source

Use of random integration to test equality of high dimensional covariance matrices. [PDF]

Stat Sin, 2023
Jiang Y, Wen C, Jiang Y, Wang X, Zhang H.   +4 more
europepmc   +1 more source