#jjstatsdatasci 검색 결과
Call for Papers: #SpecialIssue #JJStatsDataSci "Recent Statistical Methods for Survival Analysis" Submission Deadline: December 31, 2020 springer.com/journal/42081/… #SurvivalAnalysis
#JJStatsDataSci Vol.1 No.1 "Data science vs. statistics: two cultures?" Carmichael and Marron link.springer.com/article/10.100… #Computation #LiterateProgramming #MachineLearning
#JJStatsDataSci Vol.1 No.1: Welcome message from the Editor-in-Chief, Makoto Aoshima bit.ly/2U6ijaF "A new journal in data science" link.springer.com/article/10.100…
#JJStatsDataSci Vol.1 No.1 "Special feature: perspectives on data science for advanced statistics" by Makoto Aoshima link.springer.com/article/10.100…
#JJStatsDataSci Vol.1 No.1 "Divide and recombine (D&R) data science projects for deep analysis of big data and high computational complexity" by Tung, Barthur, Bowers, Song, Gerth and Cleveland link.springer.com/article/10.100… #DataScience #BigData #Parallel
#JJStatsDataSci Vol.1 No.1 "Estimation pitfalls when the noise is not i.i.d." by Giraitis, Taniguchi and Taqqu link.springer.com/article/10.100… #WhittleEstimation #AsymptoticNormality #QuadraticForm
link.springer.com
Estimation pitfalls when the noise is not i.i.d.
Japanese Journal of Statistics and Data Science - This paper extends Whittle estimation to linear processes with a general stationary ergodic martingale difference noise. We show that such...
#JJStatsDataSci Vol.1 No.1 "A new era of statistics and data science education in Japanese universities" by Akimichi Takemura link.springer.com/article/10.100… #DataAsEconomicResource #DataScientist #InternetOfThings
#JJStatsDataSci Vol.1 No.1 "Multiplicity adjustment for temporal and spatial scan statistics using Markov property" by Kuriki, Takahashi and Hara link.springer.com/article/10.100… #ChangePointAnalysis #ChordalGraph #GraphicalModel
link.springer.com
Multiplicity adjustment for temporal and spatial scan statistics using Markov property
Japanese Journal of Statistics and Data Science - We discuss computation of the conditional expectation in a multinomial distribution. The problem is motivated by the evaluation of the...
#JJStatsDataSci Vol.1 No.1 "Small-area estimation with missing data using a multivariate linear random effects model" by Ngaruye, von Rosen and Singull: link.springer.com/article/10.100… #MultivariateLinearModel #MonotoneSample #RepeatedMeasuresData #OA
#JJStatsDataSci Vol.1 No.1 "Stream-suitable optimization algorithms for some soft-margin support vector machine variants" by Nguyen, Jones and McLachlan link.springer.com/article/10.100… #BigData #MNIST #StochasticMajorization–MinimizationAlgorithm
#JJStatsDataSci Vol.1 No.1 "Partial quasi-likelihood analysis" by Nakahiro Yoshida link.springer.com/article/10.100… #PartialQuasi-LikelihoodAnalysis #Largedeviation #Quasi-Maximum-LikelihoodEstimator
link.springer.com
Partial quasi-likelihood analysis
Japanese Journal of Statistics and Data Science - The quasi-likelihood analysis is generalized to the partial quasi-likelihood analysis. Limit theorems for the quasi-likelihood estimators,...
#JJStatsDataSci Vol.1 No.1 "Sharing hash codes for multiple purposes" by Pronobis, Panknin, Kirschnick, Srinivasan, Samek, Markl, Kaul, Müller and Nakajima link.springer.com/article/10.100… #LocalitySensitiveHashing #ApproximateNearNeighborSearch #InformationRetrieval
#JJStatsDataSci Vol.1 No.1 "Sharing hash codes for multiple purposes" by Pronobis, Panknin, Kirschnick, Srinivasan, Samek, Markl, Kaul, Müller and Nakajima link.springer.com/article/10.100… #LocalitySensitiveHashing #ApproximateNearNeighborSearch #InformationRetrieval
#JJStatsDataSci Vol.1 No.1 "Multiplicity adjustment for temporal and spatial scan statistics using Markov property" by Kuriki, Takahashi and Hara link.springer.com/article/10.100… #ChangePointAnalysis #ChordalGraph #GraphicalModel
link.springer.com
Multiplicity adjustment for temporal and spatial scan statistics using Markov property
Japanese Journal of Statistics and Data Science - We discuss computation of the conditional expectation in a multinomial distribution. The problem is motivated by the evaluation of the...
#JJStatsDataSci Vol.1 No.1 "Partial quasi-likelihood analysis" by Nakahiro Yoshida link.springer.com/article/10.100… #PartialQuasi-LikelihoodAnalysis #Largedeviation #Quasi-Maximum-LikelihoodEstimator
link.springer.com
Partial quasi-likelihood analysis
Japanese Journal of Statistics and Data Science - The quasi-likelihood analysis is generalized to the partial quasi-likelihood analysis. Limit theorems for the quasi-likelihood estimators,...
#JJStatsDataSci Vol.1 No.1 "Divide and recombine (D&R) data science projects for deep analysis of big data and high computational complexity" by Tung, Barthur, Bowers, Song, Gerth and Cleveland link.springer.com/article/10.100… #DataScience #BigData #Parallel
#JJStatsDataSci Vol.1 No.1 "Data science vs. statistics: two cultures?" Carmichael and Marron link.springer.com/article/10.100… #Computation #LiterateProgramming #MachineLearning
#JJStatsDataSci Vol.1 No.1 "A new era of statistics and data science education in Japanese universities" by Akimichi Takemura link.springer.com/article/10.100… #DataAsEconomicResource #DataScientist #InternetOfThings
#JJStatsDataSci Vol.1 No.1 "Stream-suitable optimization algorithms for some soft-margin support vector machine variants" by Nguyen, Jones and McLachlan link.springer.com/article/10.100… #BigData #MNIST #StochasticMajorization–MinimizationAlgorithm
#JJStatsDataSci Vol.1 No.1 "Estimation pitfalls when the noise is not i.i.d." by Giraitis, Taniguchi and Taqqu link.springer.com/article/10.100… #WhittleEstimation #AsymptoticNormality #QuadraticForm
link.springer.com
Estimation pitfalls when the noise is not i.i.d.
Japanese Journal of Statistics and Data Science - This paper extends Whittle estimation to linear processes with a general stationary ergodic martingale difference noise. We show that such...
#JJStatsDataSci Vol.1 No.1 "Special feature: perspectives on data science for advanced statistics" by Makoto Aoshima link.springer.com/article/10.100…
#JJStatsDataSci Vol.1 No.1 "Small-area estimation with missing data using a multivariate linear random effects model" by Ngaruye, von Rosen and Singull: link.springer.com/article/10.100… #MultivariateLinearModel #MonotoneSample #RepeatedMeasuresData #OA
#JJStatsDataSci Vol.1 No.1: Welcome message from the Editor-in-Chief, Makoto Aoshima bit.ly/2U6ijaF "A new journal in data science" link.springer.com/article/10.100…
Call for Papers: #SpecialIssue #JJStatsDataSci "Recent Statistical Methods for Survival Analysis" Submission Deadline: December 31, 2020 springer.com/journal/42081/… #SurvivalAnalysis
Call for Papers: #SpecialIssue #JJStatsDataSci "Recent Statistical Methods for Survival Analysis" Submission Deadline: December 31, 2020 springer.com/journal/42081/… #SurvivalAnalysis
Call for Papers: #SpecialIssue #JJStatsDataSci "Recent Statistical Methods for Survival Analysis" Submission Deadline: December 31, 2020 springer.com/journal/42081/… #SurvivalAnalysis
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