Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 …

S Mati, GY Ismael, AA Mohammed, M Hussaini… - … Applications of Artificial …, 2024 - Elsevier
The accuracy of predicting Consumer Price Index (CPI) in West African economies is a
complex issue influenced by various factors, including COVID-19 and ongoing Russia …

Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?

A Pajor, J Wróblewska, Ł Kwiatkowski… - International …, 2024 - Wiley Online Library
We compare predictive performance of a multitude of alternative Bayesian vector
autoregression (VAR) models allowing for cointegration and time‐varying conditional …

Forecasting performance of Bayesian VEC-MSF models for financial data in the presence of long-run relationships

A Pajor, J Wróblewska - Eurasian Economic Review, 2022 - Springer
The paper is focused on comparing the forecasting performance of two relatively new types
of Vector Error Correction-Multiplicative Stochastic Factor (VEC-MSF) specifications: VEC …

[PDF][PDF] On sensitivity of Inference in Bayesian MSF-MGARCH models

J Osiewalski, A Pajor - Central European Journal of Economic …, 2019 - bibliotekanauki.pl
Hybrid MSV-MGARCH models, in particular the MSF-SBEKK specification, proved useful in
multivariate modelling of returns on financial and commodity markets. The initial MSF …

Bayesian ex post evaluation of recursive multi-step-ahead density prediction

A Pajor, J Osiewalski, J Wróblewska… - Bayesian …, 2024 - projecteuclid.org
This research is focused on a formal Bayesian method of recursive multi-step-ahead density
prediction and its ex post evaluation. Our approach remains within the framework of the …

[PDF][PDF] Bayesian VEC models with Markov-switching heteroscedasticity in forecasting macroeconomic time series

Ł Kwiatkowski - … Zeliaś International Conference on Modelling and …, 2020 - researchgate.net
In the paper, we examine the forecasting abilities of Bayesian vector error correction models
(allowing for longterm relationships between modelled variables) featuring Markovian …

[PDF][PDF] Sources of Real Exchange Rate Variability in Central and Eastern European Countries: Evidence from Structural Bayesian MSH-VAR Models

MA Dąbrowski, Ł Kwiatkowski… - … European Journal of …, 2020 - journals.pan.pl
This paper investigates the relative importance of cost, demand, financial and monetary
shocks in driving real exchange rates in four CEE countries over 2000–2018. A two-country …

[PDF][PDF] Predictive Power Comparison of Bayesian Homoscedastic vs. Markov-switching Heteroscedastic VEC Models

Ł Kwiatkowski - … methods in the contemporary issues of …, 2020 - matematyka.uek.krakow.pl
In the paper we examine the forecasting performance of Bayesian vector error correction
models (allowing for long-term relationships between modelled variables) featuring two-and …

New estimators of the Bayes factor for models with high-dimensional parameter and/or latent variable spaces

A Pajor - Entropy, 2021 - mdpi.com
Formal Bayesian comparison of two competing models, based on the posterior odds ratio,
amounts to estimation of the Bayes factor, which is equal to the ratio of respective two …

Odwrócone gamma a logarytmiczno-normalne innowacje w modelach MSF-SBEKK w prognozowaniu wybranych polskich kursów walutowych

A Pajor - Śląski Przegląd Statystyczny, 2020 - ceeol.com
The aim of the paper is to compare the forecasting potentials of two classes of Multiplicative
Stochastic Factor–scalar BEKK (MSF-SBEKK) models which differ in the type of latent …