Statistical Data Analysis 2016/17
... lectures. Please staple the pages and indicate on the sheet your name, College and degree programme (PhD, MSc, MSci). In general email or late submissions are not allowed unless due to exceptional circumstances and agreed with me. For MSc/MSci students: problem sheets count 20% of the mark; written ...
... lectures. Please staple the pages and indicate on the sheet your name, College and degree programme (PhD, MSc, MSci). In general email or late submissions are not allowed unless due to exceptional circumstances and agreed with me. For MSc/MSci students: problem sheets count 20% of the mark; written ...
Title of slide - Royal Holloway
... Through week 6 the hour from 5:00 to 6:00 will be a crash course in C++ (non-assessed, attend as needed). From week 7, the hour from 5:00 to 6:00 will be used to discuss the coursework and go over additional examples. ...
... Through week 6 the hour from 5:00 to 6:00 will be a crash course in C++ (non-assessed, attend as needed). From week 7, the hour from 5:00 to 6:00 will be used to discuss the coursework and go over additional examples. ...
x - Centre for Particle Physics
... lectures. Please staple the pages and indicate on the sheet your name, College and degree programme (PhD, MSc, MSci). In general email or late submissions are not allowed unless due to exceptional circumstances and agreed with me. ...
... lectures. Please staple the pages and indicate on the sheet your name, College and degree programme (PhD, MSc, MSci). In general email or late submissions are not allowed unless due to exceptional circumstances and agreed with me. ...
Title of slide - WebHome < PP/Public < RHUL Physics
... The main lectures are from 3:00 to 5:00 and will cover statistical data analysis. From this year there is no assessed element in computing per se, although the coursework will use C++. Through week 6 the hour from 5:00 to 6:00 will be a crash course in C++ (non-assessed, attend as needed). From week ...
... The main lectures are from 3:00 to 5:00 and will cover statistical data analysis. From this year there is no assessed element in computing per se, although the coursework will use C++. Through week 6 the hour from 5:00 to 6:00 will be a crash course in C++ (non-assessed, attend as needed). From week ...
Title of slide
... Statistical tests (in a particle physics context) Suppose the result of a measurement for an individual event is a collection of numbers x1 = number of muons, ...
... Statistical tests (in a particle physics context) Suppose the result of a measurement for an individual event is a collection of numbers x1 = number of muons, ...
Mathematical Statistics
... is called the risk when F is true and δ is adopted. Wald’s fundamental idea consists in considering this risk as the outcome of a zero-sum two-person game played by the statistician against nature. The main theorems refer to conditions under which the decision problem is strictly determined or has a ...
... is called the risk when F is true and δ is adopted. Wald’s fundamental idea consists in considering this risk as the outcome of a zero-sum two-person game played by the statistician against nature. The main theorems refer to conditions under which the decision problem is strictly determined or has a ...
Some Remarks on Rao and Lovric`s `Testing Point Null Hypothesis
... events are commonplace. It’s a consequence of more fundamental laws, which all tie together to lead inevitably and inexorably to the occurrence of such extraordinarily unlikely events”. We are in agreement, per Kolmogorov (1956), that the probability of an event A being zero does not imply that the ...
... events are commonplace. It’s a consequence of more fundamental laws, which all tie together to lead inevitably and inexorably to the occurrence of such extraordinarily unlikely events”. We are in agreement, per Kolmogorov (1956), that the probability of an event A being zero does not imply that the ...
Looking for Darwin in Genomic Sequences—Validity and Success of
... Nevertheless, the LRTs based on the site models are based on a priori well-specified statistical hypotheses, derived from our biological knowledge of the effects of natural selection. For example, the null hypothesis M1a (neutral) assumes two site classes with 0 , x0 , 1 and x1 5 1, but does not all ...
... Nevertheless, the LRTs based on the site models are based on a priori well-specified statistical hypotheses, derived from our biological knowledge of the effects of natural selection. For example, the null hypothesis M1a (neutral) assumes two site classes with 0 , x0 , 1 and x1 5 1, but does not all ...
cowan_cern09_1 - Centre for Particle Physics
... CERN-JINR 2009 Summer School / Topics in Statistical Data Analysis ...
... CERN-JINR 2009 Summer School / Topics in Statistical Data Analysis ...
Title of slide - WebHome < PP/Public < RHUL Physics
... The problem is that we usually don’t have explicit formulae for the pdfs Instead we may have Monte Carlo models for signal and background processes, so we can produce simulated data, and enter each event into an n-dimensional histogram. Use e.g. M bins for each of the n dimensions, total of Mn cells ...
... The problem is that we usually don’t have explicit formulae for the pdfs Instead we may have Monte Carlo models for signal and background processes, so we can produce simulated data, and enter each event into an n-dimensional histogram. Use e.g. M bins for each of the n dimensions, total of Mn cells ...
... (2001), there is a publication bias that favors papers that successfully reject the null hypothesis. Therefore, scholars have both substantial and practical incentives to prefer statistically significant results. McLean and Ernest (1998: 16) argue that “a null hypothesis (Ho) and an alternative hypo ...
Sample Slide Heading Image
... unidentified random variable (for discrete variables), or the probability of the value falling within a particular interval (for continuous variables) • The probability function describes the range of possible values that a random variable can attain and the probability that the value of the random ...
... unidentified random variable (for discrete variables), or the probability of the value falling within a particular interval (for continuous variables) • The probability function describes the range of possible values that a random variable can attain and the probability that the value of the random ...
Document
... “The theory of chance consists in reducing all the events of the same kind to a certain number of cases equally possible, that is to say, to such as we may be equally undecided about in regard to their existence, and in determining the number of cases favorable to the event whose probability is soug ...
... “The theory of chance consists in reducing all the events of the same kind to a certain number of cases equally possible, that is to say, to such as we may be equally undecided about in regard to their existence, and in determining the number of cases favorable to the event whose probability is soug ...
cern_stat_3
... Statistical tests (in a particle physics context) Suppose the result of a measurement for an individual event is a collection of numbers x1 = number of muons, ...
... Statistical tests (in a particle physics context) Suppose the result of a measurement for an individual event is a collection of numbers x1 = number of muons, ...
cowan_trisep16_1
... So far we have introduced the basic ideas of: Probability (frequentist, subjective) Parameter estimation (maximum likelihood) Statistical tests (reject H if data found in critical region) Confidence intervals (region of parameter space not rejected by a test of each parameter value) We saw tests bas ...
... So far we have introduced the basic ideas of: Probability (frequentist, subjective) Parameter estimation (maximum likelihood) Statistical tests (reject H if data found in critical region) Confidence intervals (region of parameter space not rejected by a test of each parameter value) We saw tests bas ...
the bayesian revolution in genetics
... The essence of the Bayesian viewpoint is that there is no logical distinction between model parameters and data. Both are RANDOM VARIABLES with a JOINT PROBABILITY DISTRIBUTION that is specified by a probabilistic model. From this viewpoint, ‘data’ are observed variables and ‘parameters’ are unobser ...
... The essence of the Bayesian viewpoint is that there is no logical distinction between model parameters and data. Both are RANDOM VARIABLES with a JOINT PROBABILITY DISTRIBUTION that is specified by a probabilistic model. From this viewpoint, ‘data’ are observed variables and ‘parameters’ are unobser ...
The Bayesian Controversy in Statistical Inference
... concerning random walks. After 1860 the whole field of science came to bear a deterministic look, with the triumphant development of natural philosophy, of Darwinism, and of deterministic theories of social development; and it may have been this, rather than the disquiet, commonly referred to, conce ...
... concerning random walks. After 1860 the whole field of science came to bear a deterministic look, with the triumphant development of natural philosophy, of Darwinism, and of deterministic theories of social development; and it may have been this, rather than the disquiet, commonly referred to, conce ...
Inference without significance: measuring support for hypotheses
... for inference because they pose the wrong question. In addition, most null hypotheses in ecology are point hypotheses already known to be false, so whether they are rejected or not provides little additional understanding. Ecological data rarely fit the controlled experimental setting for which sign ...
... for inference because they pose the wrong question. In addition, most null hypotheses in ecology are point hypotheses already known to be false, so whether they are rejected or not provides little additional understanding. Ecological data rarely fit the controlled experimental setting for which sign ...
20090827_25_Cowan_Stat
... The proposal density can be (almost) anything, but choose so as to minimize autocorrelation. Often take proposal density symmetric: Test ratio is (Metropolis-Hastings): I.e. if the proposed step is to a point of higher if not, only take the step with probability If proposed step rejected, hop in pla ...
... The proposal density can be (almost) anything, but choose so as to minimize autocorrelation. Often take proposal density symmetric: Test ratio is (Metropolis-Hastings): I.e. if the proposed step is to a point of higher if not, only take the step with probability If proposed step rejected, hop in pla ...
Fisher`s Fundamental Theorem of Natural Selection Revisited
... Fisher's derivation of the FTNS, the central statement that ``any increase dp in the frequency of the chosen gene will be accompanied by an increase 2: dp in the average fitness of the species'' (Fisher, 1958, p. 37), where : is the average effect of the chosen gene, is simply replaced by an equatio ...
... Fisher's derivation of the FTNS, the central statement that ``any increase dp in the frequency of the chosen gene will be accompanied by an increase 2: dp in the average fitness of the species'' (Fisher, 1958, p. 37), where : is the average effect of the chosen gene, is simply replaced by an equatio ...
cowan_brazil_1
... Metropolis-Hastings (continued) This rule produces a correlated sequence of points (note how each new point depends on the previous one). For our purposes this correlation is not fatal, but statistical errors larger than naive The proposal density can be (almost) anything, but choose so as to minim ...
... Metropolis-Hastings (continued) This rule produces a correlated sequence of points (note how each new point depends on the previous one). For our purposes this correlation is not fatal, but statistical errors larger than naive The proposal density can be (almost) anything, but choose so as to minim ...
72. Datta S, Satten, GA, Benos, DJ, Xia, J, Heslin
... Oral presentation, International Genetic Epidemiology Society meeting “Testing Association without Calling Genotypes Allows for Systematic Differences in Read Depth and Sequencing Error Rate between Cases and Controls,” Chicago IL (2013) Oral presentation, American Statistical Association Meeting “C ...
... Oral presentation, International Genetic Epidemiology Society meeting “Testing Association without Calling Genotypes Allows for Systematic Differences in Read Depth and Sequencing Error Rate between Cases and Controls,” Chicago IL (2013) Oral presentation, American Statistical Association Meeting “C ...
cowan_standrews09_1
... The proposal density can be (almost) anything, but choose so as to minimize autocorrelation. Often take proposal density symmetric: Test ratio is (Metropolis-Hastings): I.e. if the proposed step is to a point of higher if not, only take the step with probability If proposed step rejected, hop in pla ...
... The proposal density can be (almost) anything, but choose so as to minimize autocorrelation. Often take proposal density symmetric: Test ratio is (Metropolis-Hastings): I.e. if the proposed step is to a point of higher if not, only take the step with probability If proposed step rejected, hop in pla ...
stat_9 - Royal Holloway
... communicate objectively the result of the experiment; have a given probability of containing the true parameter; provide information needed to draw conclusions about the parameter possibly incorporating stated prior beliefs. Often use +/- the estimated standard deviation of the estimator. In some ca ...
... communicate objectively the result of the experiment; have a given probability of containing the true parameter; provide information needed to draw conclusions about the parameter possibly incorporating stated prior beliefs. Often use +/- the estimated standard deviation of the estimator. In some ca ...
Reflections on Fourteen Cryptic Issues Concerning the Nature
... subject matter does not admit unicity of solutions does not delimit personal responsibility. To the contrary, it implies that personal (or group) responsibilities are involved in deciding whether or not a solution should be imposed and, if so, which solution should be recommended. In this respect th ...
... subject matter does not admit unicity of solutions does not delimit personal responsibility. To the contrary, it implies that personal (or group) responsibilities are involved in deciding whether or not a solution should be imposed and, if so, which solution should be recommended. In this respect th ...
Ronald Fisher
Sir Ronald Aylmer Fisher FRS (17 February 1890 – 29 July 1962), known as R.A. Fisher, was an English statistician, evolutionary biologist, mathematician, geneticist, and eugenicist. He began working at Rothamsted Research in 1919, where he developed the analysis of variance (ANOVA) to analyse its immense data from crop experiments since the 1840s, and established his reputation there in the following years as a biostatistician.Fisher is known as one of the three principal founders of population genetics, creating a mathematical and statistical basis for biology and uniting natural selection with Mendelian genetics, and as one of the chief architects of the modern evolutionary synthesis. He outlined Fisher's principle as well as the Fisherian runaway and sexy son hypothesis theories of sexual selection, and made important contributions to statistics, including the maximum likelihood, fiducial inference, and the derivation of various sampling distributions.Anders Hald called him ""a genius who almost single-handedly created the foundations for modern statistical science"", while Richard Dawkins named him ""the greatest biologist since Darwin. Not only was he the most original and constructive of the architects of the neo-Darwinian synthesis. Fisher also was the father of modern statistics and experimental design. He therefore could be said to have provided researchers in biology and medicine with their most important research tools, as well as with the modern version of biology's central theorem."" and Geoffrey Miller said of him ""To biologists, he was an architect of the ""modern synthesis"" that used mathematical models to integrate Mendelian genetics with Darwin's selection theories. To psychologists, Fisher was the inventor of various statistical tests that are still supposed to be used whenever possible in psychology journals. To farmers, Fisher was the founder of experimental agricultural research, saving millions from starvation through rational crop breeding programs.""