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prof Mateusz Pipień
e-mail:
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phone:
+48-12-2935277
fax:
+48-12-2935057
web:
http://www.cyf-kr.edu.pl/~eepipien
interest(s):
Bayesian inference, financial econometrics, economic cycles, nonparametric approach
Affiliation:
Cracow University of Economics
address:
Rakowicka 27, Kraków, 31-510,
Poland
phone:
+48-12-2935779
fax:
+48-12-2939039
web:
http://ae.krakow.pl
Participant:
2 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
began:
2006-04-21
ended:
2006-04-22
Presented:
2 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
Bayesian Comparison of GARCH Processes with Asymmetric and Heavy Tailed Conditional Distributions
Participant:
3 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
began:
2007-11-22
ended:
2007-11-24
Presented:
3 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
An approach to measuring the relation between risk and return. Bayesian analysis for WIG data.
Participant:
5 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
began:
2010-11-25
ended:
2010-11-27
Presented:
5 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
On the empirical importance of the orthogonal transformation in copula-based M-GARCH models. bayesian comparison
Participant:
6 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
began:
2012-04-19
ended:
2012-04-21
Presented:
6 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"
Almost Periodically Correlated Time Series in Business Fluctuations Analysis
Participant:
Econophysics Colloquium 2017
began:
2017-07-04
ended:
2017-07-07
Presented:
Econophysics Colloquium 2017
Some recent advances in empirical analyses of economic cycles
Publications:
Almost Periodically Correlated Time Series in Business Fluctuations Analysis
An approach to measuring the relation between risk and return. Bayesian analysis for WIG data.
Bayesian Comparison of GARCH Processes with Asymmetric and Heavy Tailed Conditional Distributions
On the empirical importance of the orthogonal transformation in copula-based M-GARCH models. bayesian comparison
Some recent advances in empirical analyses of economic cycles
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