BAYESIAN VARIABLE SELECTION FOR LINEAR REGRESSION WITH THE κ-G PRIORS.
- Published in:
- Mathematics for Applications, 2022, v. 11, n. 2, p. 143, doi. 10.13164/ma.2022.11
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- Publication type:
- Article
Works matching AU FOKOUÉ, ERNEST
Results: 19
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ON SOME SIMILARITIES AND DIFFERENCES BETWEEN DEEP NEURAL NETWORKS AND KERNEL LEARNING MACHINES.
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- Mathematics for Applications, 2022, v. 11, n. 1, p. 75, doi. 10.13164/ma.2022.07
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- Article
3
ON THE UBIQUITY OF THE BAYESIAN PARADIGM IN STATISTICAL MACHINE LEARNING AND DATA SCIENCE.
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- Mathematics for Applications, 2019, v. 8, n. 2, p. 189, doi. 10.13164/ma.2019.12
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- Article
4
AN EMPIRICAL DEMONSTRATION OF THE NO FREE LUNCH THEOREM.
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- Mathematics for Applications, 2019, v. 8, n. 2, p. 173, doi. 10.13164/ma.2019.11
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- Publication type:
- Article
5
WHAT DO ASIAN AND NON-ASIAN SCRIPTURES HAVE IN COMMON? AN APPLIED STATISTICAL MACHINE LEARNING INQUIRY.
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- Mathematics for Applications, 2019, v. 8, n. 2, p. 151, doi. 10.13164/ma.2019.10
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- Publication type:
- Article
6
MULTI-STAGE FAULT WARNING FOR LARGE ELECTRIC GRIDS USING ANOMALY DETECTION AND MACHINE LEARNING.
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- Mathematics for Applications, 2019, v. 8, n. 2, p. 115, doi. 10.13164/ma.2019.08
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- Article
7
ON THE VERSATILITY AND POLYVALENCE OF CERTAIN STATISTICAL LEARNING MACHINES.
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- Mathematics for Applications, 2019, v. 8, n. 2, p. 97
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- Article
8
KERNELIZED COST-SENSITIVE LISTWISE RANKING.
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- Mathematics for Applications, 2018, v. 7, n. 1, p. 31, doi. 10.13164/ma.2018.03
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- Article
9
RANDOM SUBSPACE LEARNING (RASSEL) WITH DATA DRIVEN WEIGHTING SCHEMES.
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- Mathematics for Applications, 2018, v. 7, n. 1, p. 11, doi. 10.13164/ma.2018.02
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- Article
10
THE MULTIFACETED IMPACT OF STATISTICAL METHODOLOGY AND THEORY IN DATA SCIENCE.
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- Mathematics for Applications, 2018, v. 7, n. 1, p. 1
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- Article
11
PREDICTIVE PERFORMANCES OF IMPLICITLY AND EXPLICITLY ROBUST CLASSIFIERS ON HIGH DIMENSIONAL DATA.
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- Communications Series A1 Mathematics & Statistics, 2017, v. 66, n. 2, p. 14, doi. 10.1501/Commua1_0000000797
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- Article
12
ON THE PREDICTIVE PROPERTIES OF BINARY LINK FUNCTIONS.
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- Communications Series A1 Mathematics & Statistics, 2017, v. 66, n. 1, p. 1, doi. 10.1501/Commua1_0000000770
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- Article
13
An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions.
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- Forecasting, 2024, v. 6, n. 3, p. 815, doi. 10.3390/forecast6030041
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- Article
14
Understanding students' evaluations of professors using non-negative matrix factorization.
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- Journal of Applied Statistics, 2021, v. 48, n. 13-15, p. 2961, doi. 10.1080/02664763.2021.1991288
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- Article
15
Integrating Graph Structures into Kernel Regression Models.
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- Serdica Journal of Computing, 2024, v. 18, n. 1, p. 1, doi. 10.55630/sjc.2024.18.1-25
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- Article
16
Nonnegative Matrix Factorization with Toeplitz Penalty.
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- Journal of Informatics & Mathematical Sciences, 2018, v. 10, n. 1/2, p. 201, doi. 10.26713/jims.v10i1-2.851
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- Article
17
An Ensemble Learning Approach to the Predictive Stability of Echo State Networks.
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- Journal of Informatics & Mathematical Sciences, 2018, v. 10, n. 1/2, p. 181, doi. 10.26713/jims.v10i1-2.827
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- Article
18
An Optimal Experimental Design Perspective on Radial Basis Function Regression.
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- Communications in Statistics: Theory & Methods, 2011, v. 40, n. 7, p. 1184, doi. 10.1080/03610920903564735
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- Publication type:
- Article
19
Latent Variable Models in Heterogeneous Spaces for Observations of Mixed Types.
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- Communications in Statistics: Theory & Methods, 2009, v. 38, n. 1, p. 42, doi. 10.1080/03610920802155486
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- Publication type:
- Article