Amanote Research

Amanote Research

    RegisterSign In

Calibration and Bayesian Learning

doi 10.21034/wp.596
Full Text
Open PDF
Abstract

Available in full text

Date

September 1, 1999

Authors
Nurlan Turdaliev
Publisher

Federal Reserve Bank of Minneapolis


Related search

Grain Learning: Bayesian Calibration of DEM Models and Validation Against Elastic Wave Propagation

Springer Series in Geomechanics and Geoengineering
Mechanics of MaterialsGeotechnical EngineeringEngineering Geology
2018English

Bayesian Calibration for Multiple Source Regression Model

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2018English

Bayesian Analysis of Dose-Response Calibration Curves

Conference on Applied Statistics in Agriculture
2005English

Robust Calibration of Financial Models Using Bayesian Estimators

Journal of Computational Finance
Applied MathematicsComputer Science ApplicationsFinance
2014English

Calibration of Hydrological Model GR2M Using Bayesian Uncertainty Analysis

Water Resources Research
Water ScienceTechnology
2008English

Binary Classifier Calibration Using a Bayesian Non-Parametric Approach

2015English

Forecasting Acidification Effects Using a Bayesian Calibration and Uncertainty Propagation Approach

English

Bnclassify: Learning Bayesian Network Classifiers

R Journal
UncertaintyNumerical AnalysisStatisticsProbability
2019English

Exchange Rate Predictability and Dynamic Bayesian Learning

Journal of Applied Econometrics
EconomicsEconometricsSocial Sciences
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy