Institute of Information Theory and Automation

general

Kůs

Jméno: 
Václav
Titul před jménem: 
Ing.
Titul za jménem: 
Ph.D.
Oddělení: 
AS
Pozice anglicky: 
research associate
Pozice česky: 
vědecký pracovník
Odborné zájmy (anglicky): 
Statistical estimators of probability densities within minimum distance principle based on the theory of disparities or information divergences. Evaluation and verification of the main statistical properties of the estimates, their consistency, robustness and efficiency applied to multi-agent and DM data sets.
Odborné zájmy (česky): 
Statistické odhady hustot pravděpodobností pomocí principu minimální vzdálenosti založených na teorii dispartity a informačních divergencích. Vyhodnocení a verifikace základních statistických vlastností odhadů jako konsistence, robustnost a eficience a jejich aplikace na multiagentní a rozhodovací problémy.
Kontakty
Místnost: 
479
Linka: 
2307
Mail: 
kus
Doména mailu: 
utia.cas.cz
Přepínače
Aktivní: 
Ano
Zobrazit literaturu: 
Ano
Foto veřejné: 
Ano
Doktorand: 
Ne
Zahrnout do papírového seznamu: 
Ano

The systems described by partial differential equations with different types of delays

Project leader: Prof. Oleksandr Rezunenko, Ph.D.
Department: AS
Supported by (ID): GA16-06678S
Grantor: Czech Science Foundation
Duration: 2016 - 2018

Rationality and Deliberation

Project leader: Ing. Miroslav Kárný, DrSc.
Department: AS
Supported by (ID): GA16-09848S
Grantor: Czech Science Foundation
Duration: 2016 - 2018

Statistika

Oddělení: 
ZS
Fakulta: 
Fakulta dopravní ČVUT
Přednášející: 
Vyučován: 
Ano
Web: 
https://www.fd.cvut.cz/pro-studenty/predmet-detail.html?kod=11STAT
Typ kurzu: 
bakalářský
Semestr: 
zimní
Popisná statistika, náhodný vektor, nezávislost, korelace. Úvod do teorie odhadu a testování hypotéz. Testy hypotéz o shodě dvou středních hodnot a podílů, neparametrické testy. Regresní a korelační analýza.

.

Oddělení: 
E
Vyučován: 
Ne
Typ kurzu: 
magisterský

Best publications of 2014

Nejlepší publikace 2014
Director of ǓTIA passed diplomas for winners of competition for the best publication in 2014. Awarded are (from the left): Jiří Grim, Milan Studený, Petr Augusta, Petra Augustová, Michal Červinka, Petr Pecha, Filip Šroubek and Jan M. Swart. Congratulations!
Author of photography: Stanislav Saic

Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling (STRADI)

Project leader: Doc. Ing. Václav Šmídl, Ph.D.
Department: AS
Supported by (ID): 7F14287
Grantor: Ministry of Education, Youth and Sports
Duration: 2014 - 2017
More info: here

Bayesian soft sensor: a tool for on-line estimation of the key process variable in cold rolling mills

One of the key objectives of any rolling mill control system is to keep the thickness of the processed material within the prescribed tolerance band, which can be as low as +-10 micrometers for thin strips. Failure to comply with the tolerances results in losses which, according to experts estimate, might go up to 10% of the profit for poorly equipped rolling mills. Unfortunately, no practical direct measurement of the gauge within the rolling gap is possible. Strip thickness can be measured 50--100cm after the rolling gap with a high transport delay (20--120 samples).

News

Winter school of MTR, 2017 - 27.01.2017
Mariánská - zimní pohled

January 29 - February 2, Mariánská, Czech Republic

The Winter School of Department of Decision-Making Theory is a popular meeting point of students and researchers from the department and other colaborating researchers from several Czech institutions as well as guests from abroad. It is held in the UTIA's chalet.

The program of the 2017 edition of the MTR Winter School will consist mainly of tutorial talks given by participants.

177
NIPS 2016 Workshop - 09.12.2016
BarcelonaPark-guell.jpg

An international workshop in conjunction with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)

IMPERFECT DECISION MAKERS: ADMITTING REAL-WORLD RATIONALITY

December 9, 2016, Barcelona, Spain

110
BELIEF'16 - 21.09.2016
podzimniPraha.jpg
The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, is a well established general framework for reasoning with uncertainty, with well understood connections to other frameworks such as probability, possibility and imprecise probability theories. First introduced by Arthur P. Dempster in the context of statistical inference, the theory was later developed by Glenn Shafer into a general framework for modeling epistemic uncertainty.
177
Václav Lín has successfully defended his PhD thesis - 30.08.2016
Václav Lín has successfully defended his PhD thesis at the Faculty of Management of the University of Economics in Prague. The defence took place in Jindrichuv Hradec on August, 30, 2016. The topic of his thesis was "On sequencing problems in the management of troubleshooting operations".
46
IGAIA IV - 13.06.2016
Liblický zámek

The fourth conference on Information Geometry and its Applications will be held on June 13-17, 2016, at Liblice Castle in Czech Republic. It is organized by the Institute of Information Theory and Automation of the Czech Academy of Sciences.

177
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Institute of Information Theory and Automation