Ido Nevat

Heriot-Watt University - Department of Actuarial Mathematics and Statistics

Edinburgh, Scotland EH14 4AS

United Kingdom

SCHOLARLY PAPERS

5

DOWNLOADS

218

SSRN CITATIONS

0

CROSSREF CITATIONS

2

Scholarly Papers (5)

1.

A Feature-Ranking Framework for IoT Device Classification

Number of pages: 8 Posted: 03 Dec 2018
Singapore University of Technology and Design (SUTD), Singapore Telecommunications Limited (Singtel), Heriot-Watt University - Department of Actuarial Mathematics and Statistics, Department of Actuarial Mathematics and Statistics, Heriot-Watt University and National University of Singapore (NUS)
Downloads 83 (324,545)

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Classification, Feature Selection, Cyber Risk, Internet of Things (IoT)

2.

Spatial Field Reconstruction of Non-Gaussian Random Fields: The Tukey G-and-H Random Process

Number of pages: 37 Posted: 27 Apr 2018
Singapore University of Technology and Design (SUTD), Department of Actuarial Mathematics and Statistics, Heriot-Watt University and Heriot-Watt University - Department of Actuarial Mathematics and Statistics
Downloads 82 (326,956)
Citation 1

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Tukey Process, Co-Skewness, Co-Kurtosis, Non-Gaussian Spatial Process, Spatial Field Reconstruction

3.

Spatial Stackelberg Incentive Mechanism for Privacy-Aware Mobile Crowd Sensing

Journal of Machine Learning Research 1 (2000) 1-48
Number of pages: 31 Posted: 09 May 2018
National University of Singapore (NUS) - Department of Information Systems and Analytics, Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Heriot-Watt University - Department of Actuarial Mathematics and Statistics and Agency for Science, Technology and Research (A*STAR) - Institute for Infocomm Research
Downloads 52 (414,322)

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4.

Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks

Number of pages: 44
Qikun Xiang, Ido Nevat and Gareth Peters
Nanyang Technological University (NTU), Heriot-Watt University - Department of Actuarial Mathematics and Statistics and Department of Actuarial Mathematics and Statistics, Heriot-Watt University
Downloads 1

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Sensor Networks, Gaussian Process, Spatial Linear Unbiased Estimator (SBLUE), Empirical Bayes, Cross Entropy method (CEM), Iterated Conditional Modes (ICM)

5.

Quantifying the uncertain effects of climate change on building energy consumption across the United States

Number of pages: 31
Jimeno Fonseca, Ido Nevat and Gareth Peters
ETH, Heriot-Watt University - Department of Actuarial Mathematics and Statistics and Department of Actuarial Mathematics and Statistics, Heriot-Watt University
Downloads 0

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Climate Change, Energy Consumption, climate model, uncertainty quantification