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13 023 (0,186s)

Result

Forecasting Czech GDP using Bayesian Dynamic Model Averaging

Main topics of the document: Bayesian dynamic model averaging; Minnesota prior; Bayesian Vector Autoregressive model; GDP forecasting......

Statistics and probability

  • 2018
  • Jost
  • Link
Result

Dealing with Fiscal Data Uncertainty (DSGE-VAR Approach)

Main topics of the document: vector autoregressive model; VAR; DSGE model; fiscal policy; Bayesian analysis...

BB - Aplikovaná statistika, operační výzkum

  • 2012
  • D
Result

Combining VAR Forecast Densities Using Fast Fourier Transform

Main topics of the document: Bayesian model aeraging; fast Fourier transform; Markov chain Monte Carlo; vector autoregressions......

AH - Ekonomie

  • 2010
  • Jx
  • Link
Result

Forecasting Czech GDP using Bayesian dynamic model averaging EL Classification

is to demonstrate the benefits of the Bayesian dynamic averaging and Bayesian Vector Autoregressive Models (BVAR) in forecasting real GDP growth. Estimation of richly with many variables. Bayesian inferen...

Finance

  • 2018
  • Jimp
  • Link
Result

Alternative specification, estimation and identification of vector autoregressions

Basic themes of document: vector autoregression; estimation; identification; econometric analysis...

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • Jx
Result

Are Bayesian Fan Charts Useful? The Effect of Zero Lower Bound and Evaluation of Financial Stability Stress Tests

We show how fan charts generated from Bayesian vector autoregression models can be useful for assessing 1) the effect of the zero lower bound constraint on forecasting uncertainty and 2) the credibility of stress tests cond...

AH - Ekonomie

  • 2014
  • Jx
Result

Recursive Bayesian Autoregressive Changepoint Detector for Sequential Signal Segmentation

Not available...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2004
  • A
Result

The use of Bayesian autoregressive models for predicting macroaggregates

Basic themes of document: Bayesian methods; Gibbs sampler; the forcasting of macroagreggates...

BB - Aplikovaná statistika, operační výzkum

  • 2014
  • D
Result

Change point detection in vector autoregression

A sequential monitoring scheme is proposed to detect instability of parameters in a multivariate autoregressive process.

Statistics and probability

  • 2018
  • Jimp
  • Link
Result

Financial modeling using Gaussian process models

quickly and catch local dependencies in price movements. The Bayesian vector autoregression (BVAR) models, support vector machines (SVM) and some other were already non-parametric Bayesian models and in t...

BB - Aplikovaná statistika, operační výzkum

  • 2011
  • D
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