• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 165 matches

• 2024
• 
  Ikram E. Khuda, Sadique Ahmad, Abdelhamied Ashraf Ateya:
  STEM-Based Bayesian Computational Learning Model-BCLM for Effective Learning of Bayesian Statistics. IEEE Access 12: 91217-91228 (2024)
• 
  Cynthia A. Huang:
  A Unified Statistical And Computational Framework For Ex-Post Harmonisation Of Aggregate Statistics. CoRR abs/2406.14163 (2024)
• 2023
• 
  Ibrahim M. Almanjahie, Wafa Mesfer Alahmari, Ali Laksaci, Mustapha Rachdi:
  Computational aspects of the kNN local linear smoothing for some conditional models in high dimensional statistics. Commun. Stat. Simul. Comput. 52(7): 2985-3005 (2023)
• 
  Bradley Wakefield, Yan-Xia Lin, Rathindra Sarathy, Krishnamurty Muralidhar:
  Moment-based density estimation of confidential micro-data: a computational statistics approach. Stat. Comput. 33(1): 35 (2023)
• 
  Davood Karimi, Hamza Kebiri, Ali Gholipour:
  TBSS++: A novel computational method for Tract-Based Spatial Statistics. CoRR abs/2307.05387 (2023)
• 2022
• 
  Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani:
  Reducing neural architecture search spaces with training-free statistics and computational graph clustering. CF 2022: 213-214
• 
  Roxana Quintero-Manes, Camilo Vieira, Natalia Hernandez-Vargas:
  Measuring Cognitive Loads while Learning Computational Statistics. FIE 2022: 1-4
• 
  Afonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins, Tselil Schramm, Alexander S. Wein, Ilias Zadik:
  The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics. NeurIPS 2022
• 
  Manuel Accettulli Huber, Adriana Correia, Sanjaye Ramgoolam, Mehrnoosh Sadrzadeh:
  Permutation invariant matrix statistics and computational language tasks. CoRR abs/2202.06829 (2022)
• 
  Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani:
  Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering. CoRR abs/2204.14103 (2022)
• 
  Afonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins, Tselil Schramm, Alexander S. Wein, Ilias Zadik:
  The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics. CoRR abs/2205.09727 (2022)
• 2021
• 
  Debabrata Samanta, Amit Banerjee:
  Computationally Intensive Statistics for Intelligent IoT. Springer 2021, ISBN 978-981-16-5935-5, pp. 1-215
• 
  Sujaul Chowdhury:
  Monte Carlo Methods: A Hands-On Computational Introduction Utilizing Excel. Synthesis Lectures on Mathematics & Statistics, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01301-0, pp. 1-133
• 
  Adam A. Sliwiak, Nisha Chandramoorthy, Qiqi Wang:
  Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems. Commun. Nonlinear Sci. Numer. Simul. 101: 105906 (2021)
• 2020
• 
  Darren Sugrue:
  Introducing article numbering to Computational Statistics and Data Analysis. Comput. Stat. Data Anal. 142 (2020)
• 
  Elad Hirsch, Ayellet Tal:
  Color Visual Illusions: A Statistics-based Computational Model. NeurIPS 2020
• 
  Jack M. Wolf, Martha Barnard, Xueting Xia, Nathan Ryder, Jason Westra, Nathan L. Tintle:
  Computationally Efficient, Exact, Covariate-Adjusted Genetic Principal Component Analysis byLeveraging Individual Marker Summary Statistics from Large Biobanks. PSB 2020: 719-730
• 
  Katherine M. Kinnaird:
  Teaching Computational Machine Learning (without Statistics). Teaching ML 2020: 17-22
• 2019
• 
  Jae C. Lee, Erricos John Kontoghiorghes, Ana Colubi, Byeong Park:
  Interview of Professor Stanley Azen, Founder of Computational Statistics and Data Analysis (CSDA). Comput. Stat. Data Anal. 131: 1 (2019)
• 
  Katarzyna Kubiak, Marzena Banach, Rafal Dlugosz:
  Calculation of descriptive statistics by devices with low computational resources for use in calibration of V2I system. MMAR 2019: 302-307
• 
  Monica Franzese, Antonella Iuliano:
  Descriptive Statistics. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 672-684
• 2018
• 
  Fanny Yang:
  Statistics meets Optimization: Computational guarantees for statistical learning algorithms. University of California, Berkeley, USA, 2018
• 
  Christophe Ley, Stéphane P. A. Bordas:
  What makes Data Science different? A discussion involving Statistics2.0 and Computational Sciences. Int. J. Data Sci. Anal. 6(3): 167-175 (2018)
• 
  Muhammed J. A. Patwary, James N. K. Liu, Honghua Dai:
  Recent advances of statistics in computational intelligence (RASCI). Int. J. Mach. Learn. Cybern. 9(1): 1-3 (2018)
• 
  Andrew Kyung, Chanyeol Kim:
  Study on the Economic Indicator Forecasts Using Computational Statistics. UEMCON 2018: 1060-1066
• 2017
• 
  Patricio Farrell, Thomas Koprucki, Jürgen Fuhrmann:
  Computational and analytical comparison of flux discretizations for the semiconductor device equations beyond Boltzmann statistics. J. Comput. Phys. 346: 497-513 (2017)
• 2016
• 
  Nina Miolane:
  Geometric Statistics for Computational Anatomy. (Les statistiques géométriques pour l'anatomie numérique). University of Côte d'Azur, France, 2016
• 
  Gabriel Recchia, Max M. Louwerse:
  Archaeology Through Computational Linguistics: Inscription Statistics Predict Excavation Sites of Indus Valley Artifacts. Cogn. Sci. 40(8): 2065-2080 (2016)
• 
  Ana Colubi, Cristian Gatu, Erricos John Kontoghiorghes:
  Special issue on computational statistics. Int. J. Comput. Math. 93(4): 627 (2016)
• 
  Mohammad Reza Bonyadi, Zbigniew Michalewicz:
  Evolutionary Computation for Real-World Problems. Challenges in Computational Statistics and Data Mining 2016: 1-24

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