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62The R Project for Statistical Computing
http://www.r-project.org/
24 years ago by @gor
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1Online Statistical Textbooks and Courses
http://www.uni-koeln.de/themen/Statistik/onlinebooks.html
26 years ago by @gor
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1Statistician Jokes
http://info.business.utah.edu/~bebrblf/statjoke.html
26 years ago by @gor
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1Elementary Concepts in Statistics
http://www.statsoft.com/textbook/esc.html
26 years ago by @gor
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13The Statistics Homepage
http://www.statsoft.com/textbook/stathome.html
26 years ago by @gor
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1Igors Statistik-Skripte
http://homepage.ruhr-uni-bochum.de/Dorthe.B.Luebbert/statist/index.htm
26 years ago by @gor
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1Statistik
http://www.uni-koeln.de/themen/Statistik/
26 years ago by @gor
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1Handbook: Distribution Functions (Verteilungs Funktionen)
D. Schrausser. (2024)
a month ago by @schrausser
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1Multivariate $t$-Distributions and Their Applications
S. Kotz, and S. Nadarajah. Cambridge University Press, Cambridge, (2004)
a month ago by @peter.ralph
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1Majorizing measures: the generic chaining
M. Talagrand. The Annals of Probability, 24 (3): 1049 -- 1103 (1996)
2 months ago by @tabularii
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abel_prize_2024boundedness_conditionchaininggaussian_matchingsprobabilitystatistics
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1Spatial statistical methodologies in COVID-19 Studies: A systematic review
T. Nguyen, and T. Mai. World Journal of Biology Pharmacy and Health Sciences, 15 (3): 068–075 (February 2024)
2 months ago by @wjbphsjournal
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2konfound: An R Sensitivity Analysis Package to Quantify the Robustness of Causal Inferences
S. Narvaiz, Q. Lin, J. Rosenberg, K. Frank, S. Maroulis, W. Wang, and R. Xu. Journal of Open Source Software, 9 (95): 5779 (March 2024)
3 months ago by @tabularii
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2A Statistical Solution to the Chaotic, Non-Hierarchical Three-Body Problem
N. Stone, and N. Leigh. (2019)cite arxiv:1909.05272Comment: 54 pages, 8 figures.
3 months ago by @tabularii
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1Integrated population models: Model assumptions and inference
T. Riecke, P. Williams, T. Behnke, D. Gibson, A. Leach, B. Sedinger, P. Street, and J. Sedinger. Methods in Ecology and Evolution, 10 (7): 1072-1082 (2019)
4 months ago by @peter.ralph
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2Deep Learning for Climate Model Output Statistics
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. EGU General Assembly, (2021)
4 months ago by @jmuagpaeth
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3Different approaches of finding European climate analogue regions for the Steigerwald forest (Germany) in the future
K. Ziegler, F. Pohl, F. Pollinger, and H. Paeth. EGU General Assembly, (2021)
4 months ago by @jmuagpaeth
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6ConvMOS: climate model output statistics with deep learning
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. Data Mining and Knowledge Discovery, 37 (1): 136--166 (Jan 1, 2023)
4 months ago by @jmuagpaeth
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6ConvMOS: climate model output statistics with deep learning
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. Data Mining and Knowledge Discovery, 37 (1): 136--166 (2022)
4 months ago by @jmuagpaeth
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3Statistical modeling of phenology in Bavaria based on past and future meteorological information
K. Ziegler, F. Pollinger, S. Böll, and H. Paeth. Theoretical and Applied Climatology, 140 (3-4): 1467--1481 (2020)
4 months ago by @jmuagpaeth
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8Deep Learning for Climate Model Output Statistics
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, (2020)
4 months ago by @jmuagpaeth
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2Common mistakes in ecological niche models
N. Sillero, and A. Barbosa. International Journal of Geographical Information Science, 35 (2): 213-226 (2021)
5 months ago by @peter.ralph
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2Deep Learning for Climate Model Output Statistics
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. EGU General Assembly, (2021)
5 months ago by @kaziegler
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3Different approaches of finding European climate analogue regions for the Steigerwald forest (Germany) in the future
K. Ziegler, F. Pohl, F. Pollinger, and H. Paeth. EGU General Assembly, (2021)
5 months ago by @kaziegler
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6ConvMOS: climate model output statistics with deep learning
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. Data Mining and Knowledge Discovery, 37 (1): 136--166 (2022)
5 months ago by @kaziegler
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3Statistical modeling of phenology in Bavaria based on past and future meteorological information
K. Ziegler, F. Pollinger, S. Böll, and H. Paeth. Theoretical and Applied Climatology, 140 (3-4): 1467--1481 (2020)
5 months ago by @kaziegler
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8Deep Learning for Climate Model Output Statistics
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, (2020)
5 months ago by @kaziegler
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6ConvMOS: climate model output statistics with deep learning
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. Data Mining and Knowledge Discovery, 37 (1): 136--166 (Jan 1, 2023)
5 months ago by @kaziegler
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BibSonomy

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62The R Project for Statistical Computing

1Online Statistical Textbooks and Courses

1Statistician Jokes

1Elementary Concepts in Statistics

13The Statistics Homepage

1Igors Statistik-Skripte

1Statistik

publications (hide)3174
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1Handbook: Distribution Functions (Verteilungs Funktionen)

1Multivariate $t$-Distributions and Their Applications

1Majorizing measures: the generic chaining

1Spatial statistical methodologies in COVID-19 Studies: A systematic review

2konfound: An R Sensitivity Analysis Package to Quantify the Robustness of Causal Inferences

2A Statistical Solution to the Chaotic, Non-Hierarchical Three-Body Problem

1Integrated population models: Model assumptions and inference

2Deep Learning for Climate Model Output Statistics

3Different approaches of finding European climate analogue regions for the Steigerwald forest (Germany) in the future

6ConvMOS: climate model output statistics with deep learning

6ConvMOS: climate model output statistics with deep learning

3Statistical modeling of phenology in Bavaria based on past and future meteorological information

8Deep Learning for Climate Model Output Statistics

2Common mistakes in ecological niche models

2Deep Learning for Climate Model Output Statistics

3Different approaches of finding European climate analogue regions for the Steigerwald forest (Germany) in the future

6ConvMOS: climate model output statistics with deep learning

3Statistical modeling of phenology in Bavaria based on past and future meteorological information

8Deep Learning for Climate Model Output Statistics

6ConvMOS: climate model output statistics with deep learning

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