Results 91 to 100 of about 2,103,105 (303)
Bayesian Extreme Value Mixture Modelling for Estimating VaR [PDF]
A new extreme value mixture modelling approach for estimating Value-at-Risk (VaR) is proposed, overcoming the key issues of determining the threshold which defines the distribution tail and accounts for uncertainty due to threshold choice.
Les Oxley +3 more
core
Using stacking to average bayesian predictive distributions (with discussion) [PDF]
, 2018 Bayesian model averaging is flawed in the M-open setting in which the true data-generating process is not one of the candidate models being fit. We take the idea of stacking from the point estimation literature and generalize to the combination of ...
Grunwald, Peter +43 more
core +1 more source
Bayesian ad non-Bayesian estimation for parameters of WPM distribution:B.
, 2023 Bayesian ad non-Bayesian estimation for parameters of WPM distribution:B.
Salemah A. Almutlak (14322088) +7 more
core +1 more source
Advanced Functional Materials, EarlyView.This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
Entropy, 2013 Studies of learning algorithms typically concentrate on situations where potentially ever growing training sample is available. Yet, there can be situations (e.g., detection of differentially expressed genes on unreplicated data or estimation of time ...
Peter Tiňo
doaj +1 more source
On the Choice of Prior in Bayesian Model Averaging [PDF]
Bayesian model averaging attempts to combine parameter estimation and model uncertainty in one coherent framework. The choice of prior is then critical.
Kumar, K., Magnus, J.R., Einmahl, J.H.J.
core
Advanced Functional Materials, EarlyView.Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye +8 more
wiley +1 more source
Improving maximum likelihood estimation using prior probabilities: A tutorial on maximum a posteriori estimation and an examination of the weibull distribution [PDF]
Tutorials in Quantitative Methods for Psychology, 2013 This tutorial describes a parameter estimation technique that is little-known in social sciences, namely maximum a posteriori estimation. This technique can be used in conjunction with prior knowledge to improve maximumlikelihood estimation of the best ...
Denis Cousineau, Sebastien Helie
doaj
Bayesian Methods for Predicting the Shape of Chinese Yam in Terms of Key Diameters
Advances in Agriculture, 2017 This paper proposes Bayesian methods for the shape estimation of Chinese yam (Dioscorea opposita) using a few key diameters of yam. Shape prediction of yam is applicable to determining optimal cutoff positions of a yam for producing seed yams.
Mitsunori Kayano +2 more
doaj +1 more source