终止
发表于 2025-3-28 16:50:44
,Therapie der Ösophagusvarizenblutung,, numerical examples show that the proposed estimator outperforms the simple averaging estimator with a large margin in terms of the mean squared errors. A potential application of the one-step approach is that one can use multiple machines to speed up large-scale statistical inference with little c
食物
发表于 2025-3-28 19:26:47
Siegfried Kasper,Hans-Jürgen Möllers and to identify an adequate local model within each regime. In this case, the problem of clustering or classification can be addressed by use of sequential patterns of the models for the separate regimes..In this chapter, we discuss methods for identifying changepoints in a univariate time series.
Sputum
发表于 2025-3-28 22:57:15
E. Specker,H. Gülker,F. Bender,A. Theilmeier the number of samples. To preserve the tensor structure and reduce the dimensionality simultaneously, we revisit the tensor sufficient dimension reduction model and apply it to colorimetric sensor arrays. Tensor sufficient dimension reduction method is simple but powerful and exhibits a competent e
Slit-Lamp
发表于 2025-3-29 05:29:28
https://doi.org/10.1007/3-7985-1622-7 also applied on the post-process of magnetic resonance imaging (MRI) and better tumor recognitions can be achieved on the T1 post-contrast and T2 modes. It is appealing that the post-processing MRI using the proposed DFT-based algorithm would benefit the scientists in the judgment of clinical patho
Breach
发表于 2025-3-29 09:40:58
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BARGE
发表于 2025-3-29 14:12:18
Statistics, Statisticians, and the Internet of Thingsthis new area of investigation. At the same time, data practitioners will be exposed to the possibility of privacy breaches, accidents causing bodily harm, and other concrete consequences of getting things wrong in theory and/or practice. We contend that the physical instantiation of data practice i
躲债
发表于 2025-3-29 16:24:02
Cognitive Data Analysis for Big Dataata Preparation, Automated Modeling, and Application of Results) is discussed in detail. The Data Preparation stage alleviates or eliminates the data preparation burden from the user by including smart technologies such as natural language query and metadata discovery. This stage prepares the data f
Popcorn
发表于 2025-3-29 21:45:55
Statistical Leveraging Methods in Big Datainference. In this chapter, we review the recent development of statistical leveraging methods. In particular, we focus on various algorithms for constructing subsampling probability distribution, and a coherent theoretical framework for investigating their estimation property and computing complexi
CEDE
发表于 2025-3-30 03:58:20
Scattered Data and Aggregated Inference, numerical examples show that the proposed estimator outperforms the simple averaging estimator with a large margin in terms of the mean squared errors. A potential application of the one-step approach is that one can use multiple machines to speed up large-scale statistical inference with little c
烤架
发表于 2025-3-30 07:41:52
Finding Patterns in Time Seriess and to identify an adequate local model within each regime. In this case, the problem of clustering or classification can be addressed by use of sequential patterns of the models for the separate regimes..In this chapter, we discuss methods for identifying changepoints in a univariate time series.