RNDr, Milan Stehlík PhD
... and their applications, In Firma a konkurencní prostedí \ 2008 - 1. part. Brno: MSD, spol. s r. o., 2008, s. 428--436. ISBN 978-80-7392-020-3. (In Czech) (12) R. Potocký and Stehlík M. (2007) Stochastic models in insurance and finance with respect to Basel II, In Proceedings, APV 2007, Eds: Pipiska ...
... and their applications, In Firma a konkurencní prostedí \ 2008 - 1. part. Brno: MSD, spol. s r. o., 2008, s. 428--436. ISBN 978-80-7392-020-3. (In Czech) (12) R. Potocký and Stehlík M. (2007) Stochastic models in insurance and finance with respect to Basel II, In Proceedings, APV 2007, Eds: Pipiska ...
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LecturesPart19
... transfers of material in which some type of mass conservation condition holds Inputs from/outputs to the environment are permitted If they occur, systems is open (otherwise closed) ...
... transfers of material in which some type of mass conservation condition holds Inputs from/outputs to the environment are permitted If they occur, systems is open (otherwise closed) ...
example design
... something we encourage you to do, and other thing completely different is to write VHDL code that has to be easily analysed and assessed by your team mates and the instructor in very short time. This is why all the class has to follow a very tight coding conventions or styles. Therefore, to translat ...
... something we encourage you to do, and other thing completely different is to write VHDL code that has to be easily analysed and assessed by your team mates and the instructor in very short time. This is why all the class has to follow a very tight coding conventions or styles. Therefore, to translat ...
ST2334 PROBLEM SHEET 10 Question 1 Let X1,...,Xn be
... Let X1 , . . . , Xn be independent identically distributed random variables, with Xi ∈ X = R+ . The Bayes factor is a way to decide between using one of two models. Suppose we assume that the data can come from two competing models with equal probability and denote the joint PDF of the data under th ...
... Let X1 , . . . , Xn be independent identically distributed random variables, with Xi ∈ X = R+ . The Bayes factor is a way to decide between using one of two models. Suppose we assume that the data can come from two competing models with equal probability and denote the joint PDF of the data under th ...
Decision Making Theories and Neuroscience
... • In choice between S1 and R1: information about S1 is accumulated much faster than about R1: high chance of hitting S1 threshold • In choice between S2 and R2: information accumulates at comparable speeds, R2 is almost like S2, only with $5 instead of $1, high chance to hit R2 threshold first • Add ...
... • In choice between S1 and R1: information about S1 is accumulated much faster than about R1: high chance of hitting S1 threshold • In choice between S2 and R2: information accumulates at comparable speeds, R2 is almost like S2, only with $5 instead of $1, high chance to hit R2 threshold first • Add ...
No Slide Title
... Writing algebraic expressions, equations, or inequalities that represent real-life situations is called modeling. The expression, equation, or inequality is a mathematical model. Use three steps to write a mathematical model. ...
... Writing algebraic expressions, equations, or inequalities that represent real-life situations is called modeling. The expression, equation, or inequality is a mathematical model. Use three steps to write a mathematical model. ...
A Model for Measurement Error for Gene Expression Arrays
... ̂ i of the y ̂ and the standard deviation si of log( y ˆ ) • Then use the pooled standard deviation to estimate : ...
... ̂ i of the y ̂ and the standard deviation si of log( y ˆ ) • Then use the pooled standard deviation to estimate : ...
High Dimensional Inference - uf statistics
... This talk focuses on classification with microarray gene expression data which is one of the leading examples behind the recent surge of interests in high dimensional data analysis. It is now known that feature selection is crucial and often necessary in high dimensional classification problems. In ...
... This talk focuses on classification with microarray gene expression data which is one of the leading examples behind the recent surge of interests in high dimensional data analysis. It is now known that feature selection is crucial and often necessary in high dimensional classification problems. In ...
PowerPoint
... ◦ By keeping the data separate from formulas, you can save time when changes are needed by only having to change one parameter rather than looking for all the formulas that use a specific piece of data. ◦ This allows all the data to be visual in the spreadsheet. ...
... ◦ By keeping the data separate from formulas, you can save time when changes are needed by only having to change one parameter rather than looking for all the formulas that use a specific piece of data. ◦ This allows all the data to be visual in the spreadsheet. ...
Bayesian Extension to the Language Model for Ad Hoc Information
... In the absence of any other information, we will assume that the documents resemble the average document. The average term count for term ...
... In the absence of any other information, we will assume that the documents resemble the average document. The average term count for term ...
Coopr: A Python Repository for Optimization
... • Pyomo does not include preprocessing of LP/MILP models Slide 22 ...
... • Pyomo does not include preprocessing of LP/MILP models Slide 22 ...
Results - SIITME
... -axis Ox contains the fields of knowledge, as they are described and used in the librarianship. Thus, the document belongs to a field marked from 0 to 9. If |x2-x1|>1, it means that the documents belong to different fields. At the same time, the smaller the difference between the subunitary parts is ...
... -axis Ox contains the fields of knowledge, as they are described and used in the librarianship. Thus, the document belongs to a field marked from 0 to 9. If |x2-x1|>1, it means that the documents belong to different fields. At the same time, the smaller the difference between the subunitary parts is ...
Control-Based Load Shedding in Data Stream - CSE
... generate a PD controller that controls average tuple delays by adjusting the amount of load shedding; 3. Control framework implemented and evaluated in real DSMS. Experiments show that feedback-control-based method significantly improves control of delays with the same amount of data loss as compare ...
... generate a PD controller that controls average tuple delays by adjusting the amount of load shedding; 3. Control framework implemented and evaluated in real DSMS. Experiments show that feedback-control-based method significantly improves control of delays with the same amount of data loss as compare ...
Comparing Time Series, Neural Nets and
... Neural Networks • Neural Networks are especially useful for problems where – Prediction is more important than explanation – There are lots of training data – No mathematical formula that relates inputs to outputs is known • Source: SAS Enterprise Miner Reference Help. Neural Network Node: Referenc ...
... Neural Networks • Neural Networks are especially useful for problems where – Prediction is more important than explanation – There are lots of training data – No mathematical formula that relates inputs to outputs is known • Source: SAS Enterprise Miner Reference Help. Neural Network Node: Referenc ...
Chapter 1 Introduction to Business Analytics
... Data: numerical or textual facts and figures that are collected through some type of measurement ...
... Data: numerical or textual facts and figures that are collected through some type of measurement ...
Computer simulation
A computer simulation is a simulation, run on a single computer, or a network of computers, to reproduce behavior of a system. The simulation uses an abstract model (a computer model, or a computational model) to simulate the system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.Computer simulations vary from computer programs that run a few minutes to network-based groups of computers running for hours to ongoing simulations that run for days. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional paper-and-pencil mathematical modeling. Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around Kuwait, using multiple supercomputers in the DoD High Performance Computer Modernization ProgramOther examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex maker of protein in all organisms, a ribosome, in 2005;a complete simulation of the life cycle of Mycoplasma genitalium in 2012; and the Blue Brain project at EPFL (Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level.Because of the computational cost of simulation, computer experiments are used to perform inference such as uncertainty quantification.