Results 91 to 100 of about 1,042,431 (269)

Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices [PDF]

open access: yes, 2012
The thresholding covariance estimator has nice asymptotic properties for estimating sparse large covariance matrices, but it often has negative eigenvalues when used in real data analysis.
Ma, Shiqian, Xue, Lingzhou, Zou, Hui
core  

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

open access: yesAdvanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour   +3 more
wiley   +1 more source

Using routine hydrographic sections for estimating the parameters needed for Optimal Statistical Interpolation. Application to the northern Alboran Sea

open access: yesScientia Marina, 2005
Optimal Statistical Interpolation is widely applied in the analysis of oceanographic data. This technique requires knowing some statistics of the analysed fields such as the covariance function and the noise to signal ratio.
Manuel Vargas-Yáñez   +3 more
doaj   +1 more source

Sleep Alters the Velocity of Physiological Brain Pulsations in Humans

open access: yesAdvanced Science, EarlyView.
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy   +13 more
wiley   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

open access: yesAdvanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang   +7 more
wiley   +1 more source

The Mean and the Variance as Dual Concepts in a Fundamental Duality

open access: yesAxioms
A basic duality arises throughout the mathematical and natural sciences. Traditionally, logic is thought to be based on the Boolean logic of subsets, but the development of category theory in the mid-twentieth century shows the duality between subsets ...
David Ellerman
doaj   +1 more source

On the Moments and the Distribution of Aggregate Discounted Claims in a Markovian Environment

open access: yesRisks, 2018
This paper studies the moments and the distribution of the aggregate discounted claims (ADCs) in a Markovian environment, where the claim arrivals, claim amounts, and forces of interest (for discounting) are influenced by an underlying Markov process ...
Shuanming Li, Yi Lu
doaj   +1 more source

Covariance-Adaptive Slice Sampling [PDF]

open access: yes, 2010
We describe two slice sampling methods for taking multivariate steps using the crumb framework. These methods use the gradients at rejected proposals to adapt to the local curvature of the log-density surface, a technique that can produce much better ...
Neal, Radford M., Thompson, Madeleine
core   +1 more source

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

open access: yesAdvanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl   +3 more
wiley   +1 more source

Forecasting Wind Speed Using Climate Variables

open access: yesForecasting
Wind energy in Brazil has been steadily growing, influenced significantly by climate change. To enhance wind energy generation, it is essential to incorporate external climatic variables into wind speed modeling to reduce uncertainties.
Rafael Araujo Couto   +2 more
doaj   +1 more source

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