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Team, Place & City Details
Vilémovice (Blansko District)
Vilémovice is a village in Blansko District, South Moravian Region, Czech Republic. Vilémovice lies in the Moravian Karst nature reserve.
Vilémov (Olomouc District)
Vilémov is a village and municipality in Olomouc District in the Olomouc Region of the Czech Republic. The municipality covers an area of 8.55 square kilometres (3.30 sq mi), and has a population of 462 (as at 3 July 2006).
Vilémov (Chomutov District)
Vilémov is a municipality and village in Chomutov District in the Ústí nad Labem Region of the Czech Republic. It has about 600 inhabitants.
Vilémov (Děčín District)
Vilémov is a municipality and village in Děčín District in the Ústí nad Labem Region of the Czech Republic. It has about 900 inhabitants.
Vilémov (Havlíčkův Brod District)
Vilémov is a market town in Havlíčkův Brod District in the Vysočina Region of the Czech Republic. It has about 1,000 inhabitants.
Vilémovice (Havlíčkův Brod District)
Vilémovice is a village and municipality (obec) in Havlíčkův Brod District in the Vysočina Region of the Czech Republic. The municipality covers an area of 3.84 square kilometres (1.48 sq mi), and has a population of 220 (as at 3 July 2006).
Vilémov u Šluknova railway station
Vilémov u Šluknova is a railway station in the village of Vilémov, Ústí nad Labem Region, Czech Republic. The station is now served by České dráhy in cooperation with DB Regio: the National Park Railway.
Vilémov
Vilémov may refer to places in the Czech Republic:
Malkov
Malkov is a Russian masculine surname, its feminine counterpart is Malkova.
Malkovich
Malkovich is a family name of Slavic origin.
Malkovec
Malkovec is a viticultural settlement along the road on the ridge of Malkovec Hill, southeast of Tržišče, in the Municipality of Sevnica in the Sava region of Slovenia. The municipality is included in the Lower Sava Statistical Region.
Markov chain
A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.In probability theory and related fields, a Markov process, named after the Russian mathematician Andrey Markov, is a stochastic process that satisfies the Markov property . Roughly speaking, a process satisfies the Markov property if one can make predictions for the future of the process based solely on its present state just as well as one could knowing the process's full history, hence independently from such history, that is, conditional on the present state of the system, its future and past states are independent.
Markov chain Monte Carlo
In statistics, Markov chain Monte Carlo methods comprise a class of algorithms for sampling from a probability distribution. By constructing a Markov chain that has the desired distribution as its equilibrium distribution, one can obtain a sample of the desired distribution by observing the chain after a number of steps.