Journal ArticleDOI
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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This section will review those books whose content and level reflect the general editorial poltcy of Technometrics.Abstract:
This section will review those books whose content and level reflect the general editorial poltcy of Technometrics. Publishers should send books for review to Ejaz Ahmed, Depatment of Mathematics and Statistics, University of Windsor, Windsor, ON N9B 3P4 (techeditor@uwindsoxca). The opinions expressed in this section are those of the reviewers These opinions do not represent positions of the reviewer's organization and may not reflect those of the editors or the sponsoring societies. Listed prices reflect information provided by the publisher and may not be current The book purchase programs of the American Society for Quality can provide some of these books at reduced prices for members. For infbrmation, contact the American Society for Quality at 1-800-248-1946.read more
Citations
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Journal ArticleDOI
Mastering the game of Go without human knowledge
David Silver,Julian Schrittwieser,Karen Simonyan,Ioannis Antonoglou,Aja Huang,Arthur Guez,Thomas Hubert,Lucas Baker,Matthew Lai,Adrian Bolton,Yutian Chen,Timothy P. Lillicrap,Fan Hui,Laurent Sifre,George van den Driessche,Thore Graepel,Demis Hassabis +16 more
TL;DR: An algorithm based solely on reinforcement learning is introduced, without human data, guidance or domain knowledge beyond game rules, that achieves superhuman performance, winning 100–0 against the previously published, champion-defeating AlphaGo.
Journal ArticleDOI
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.
Karel G.M. Moons,Douglas G. Altman,Johannes B. Reitsma,John P. A. Ioannidis,Petra Macaskill,Ewout W. Steyerberg,Andrew J. Vickers,David F. Ransohoff,Gary S. Collins +8 more
TL;DR: In virtually all medical domains, diagnostic and prognostic multivariable prediction models are being developed, validated, updated, and implemented with the aim to assist doctors and individuals in estimating probabilities and potentially influence their decision making.
Journal ArticleDOI
Effects of sample size on the performance of species distribution models
TL;DR: In this article, a broad suite of algorithms with independent presence-absence data from multiple species and regions were evaluated for 46 species (from six different regions of the world) at three sample sizes (100, 30 and 10 records).
Journal ArticleDOI
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
Andrew T. Drysdale,Logan Grosenick,Logan Grosenick,Jonathan Downar,Katharine Dunlop,Farrokh Mansouri,Yue Meng,Robert N. Fetcho,Benjamin D. Zebley,Desmond J. Oathes,Amit Etkin,Alan F. Schatzberg,Keith Sudheimer,Jennifer Keller,Helen S. Mayberg,Faith M. Gunning,George S. Alexopoulos,Michael D. Fox,Alvaro Pascual-Leone,Henning U. Voss,B. J. Casey,Marc J. Dubin,Conor Liston +22 more
TL;DR: It is shown here that patients with depression can be subdivided into four neurophysiological subtypes defined by distinct patterns of dysfunctional connectivity in limbic and frontostriatal networks, which may be useful for identifying the individuals who are most likely to benefit from targeted neurostimulation therapies.
Journal ArticleDOI
Data-driven Soft Sensors in the process industry
TL;DR: Characteristics of the process industry data which are critical for the development of data-driven Soft Sensors are discussed.
References
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MonographDOI
Causality: models, reasoning, and inference
TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
Journal ArticleDOI
On Measuring and Correcting the Effects of Data Mining and Model Selection
TL;DR: The concept of GDF offers a unified framework under which complex and highly irregular modeling procedures can be analyzed in the same way as classical linear models and many difficult problems can be solved easily.
Journal ArticleDOI
Dimension fractale et estimation de la régression dans des espaces vectoriels semi-normés
Frédéric Ferraty,Philippe Vieu +1 more
TL;DR: In this paper, the authors present a modele de regression lorsque the variable explicative est a valeurs dans un espace vectoriel semi-norme alors que the variable reponse est scalaire.
Journal ArticleDOI
Reproducible research in computational economics: guidelines, integrated approaches, and open source software
TL;DR: This paper proposes some basic standards to improve the production and reporting of computational results in economics for the purpose of accuracy and reproducibility and reflects on current developments in the practice of computing and visualization.
Journal ArticleDOI
Nonparametric Regression with Singular Design
TL;DR: In this paper, the authors studied the convergence of the Nadaraya?Watson estimator under the general setup that the continuity of the design measure is governed by the local or pointwise dimension.