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- 資料種別
- 図書
- 並列タイトル等
- Cambridge series in statistical and probabilistic mathematics
- 出版地（国名コード）
- uk
- 対象利用者
- 一般
- 関連情報
- Applied asymptotics : case studies in small-sample statisticsData analysis and graphics using R : an example-based approachProbability : theory and examplesStatistical mechanics of disordered systems : a mathematical perspectiveNetworks : optimisation and evolutionRegression for categorical dataBrownian motionMeasure theory and filtering : introduction and applicationsProbability on trees and networksEssentials of statistical inferenceRandom networks for communication : from statistical physics to information systemsQuantum stochasticsDesign of Comparative ExperimentsApplications of empirical process theoryWavelet methods for time series analysisFundamentals of nonparametric Bayesian inferenceProbability : theory and examplesData analysis and graphics using R : an example-based approachNumerical methods of statisticsStatistical analysis of stochastic processes in timeStatistical mechanics of disordered systems : a mathematical perspectiveAsymptotic statisticsModel selection and model averagingRandom graph dynamicsPredictive statistics : analysis and inference beyond modelsExercises in probability : a guided tour from measure theory to random processes, via conditioningRandom graph dynamicsEssentials of statistical inferenceHigh-dimensional statistics : a non-asymptotic viewpointApplications of empirical process theoryNonparametric estimation under shape constraints : estimators, algorithms, and asymptoticsStatistical principles for the design of experimentsModel-based clustering and classification for data science : with applications in RLarge sample covariance matrices and high-dimensional data analysisConfidence, likelihood, probability : statistical inference with confidence distributionsExercises in probability : a guided tour from measure theory to random processes, via conditioningFrom finite sample to asymptotic methods in statisticsRandom graphs and complex networksWavelet methods for time series analysisMarkov chainsStochastic processesMeasure theory and filtering : introduction and applicationsNumerical methods of statisticsData analysis and graphics using R : an example-based approachBootstrap methods and their applicationBayesian methods : an analysis for statisticians and interdisciplinary researchersLong-range dependence and self-similaritySemiparametric regressionBayesian methods : an analysis for statisticians and interdisciplinary researchersHigh-dimensional probability : an introduction with applications in data scienceMathematical foundations of infinite-dimensional statistical modelsStatistical modelsThe coordinate-free approach to linear modelsExercises in probability : a guided tour from measure theory to random processes, via conditioningStatistical modelsThe estimation and tracking of frequencyA user's guide to measure theoretic probabilityNetworks : optimisation and evolutionAnalysis of multivariate and high-dimensional dataStatistical analysis of stochastic processes in timeAsymptotic statisticsElements of distribution theorySaddlepoint approximations with applicationsMarkov chainsNumerical methods of statisticsSymmetry studies : an introduction to the analysis of structured data in applicationsBayesian nonparametricsThe fundamentals of heavy tails : properties, emergence, and estimationProbability on trees and networksModern discrete probability : an essential toolkitMathematical foundations of infinite-dimensional statistical modelsStatistical hypothesis testing in context : reproducibility, inference, and scienceRandom graphs and complex networksSpectral analysis for univariate time series
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- CiNii Books