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Dynamic data science and official statistics

  • Published:2017-05-23 Issue:1 Volume:46 Page:10-23
  • ISSN:0319-5724
  • Container-title:Canadian Journal of Statistics
  • language:en
  • Short-container-title:Can. J. Statistics

Author:

Thompson Mary E.1ORCID

Affiliation:

1. Statistics and Actuarial Science; University of Waterloo; Waterloo, ON N2L 3G1 Canada

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference61 articles.

1. Banded regularization of autocovariance matrices in application to parameter estimation and forecasting of time series;Bickel;Journal of the Royal Statistical Society, Series B,2011

2. Regularization in statistics;Bickel;Test,2006

3. Planning for the 2020 census: A new design for the 21st century;Blumerman;Amstat News,2015

4. Efficient stabilization of crop yield prediction in the Canadian Prairies;Bornn;Agricultural and Forest Meteorology,2012

5. Bias correction in estimation of public health risk attributable to short-term air pollution exposure;Burr;Environmetrics,2015

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1. Data science training for official statistics: A new scientific paradigm of information and knowledge development in national statistical systems;Statistical Journal of the IAOS;2021-09-01

2. Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures;2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC);2021-07

3. Mining the New Oil for Official Statistics 1;Big Data Meets Survey Science;2020-09-04

4. Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading;2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2020-07

5. Dynamic Data Science Applications in Optimal Profit Algorithmic Trading;2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC);2020-07
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