Zobrazeno 1 - 6
of 6
pro vyhledávání: '"P. J. Roebber"'
Publikováno v:
Nonlinear Processes in Geophysics, Vol 4, Iss 2, Pp 93-100 (1997)
Recently atmospheric general circulation models (AGCMs) forced by observed sea surface temperatures (SSTs) have offered the possibility of studying climate variability over periods ranging from years to decades. Such models represent and alternative
Externí odkaz:
https://doaj.org/article/7bb216dad303444d9529301d22b756bc
Publikováno v:
PLoS ONE, Vol 17, Iss 6, p e0269604 (2022)
Using United States National Football League play-by-play data for the 2002-2012 seasons, we train a neural network to predict win probability, based on measures of the game state. This predictor's performance is comparable to the point spread at the
Externí odkaz:
https://doaj.org/article/5e981e34bc1f4b8baca4e07c1f94fc83
Autor:
Paul J Roebber
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244941 (2021)
Financial advisors often emphasize asset diversification as a means of limiting losses from investments that perform unexpectedly poorly over a particular time period. One might expect that this perceived wisdom could apply in another high stakes are
Externí odkaz:
https://doaj.org/article/587cdde56808403fbc04cc268a2f99bb
Autor:
Austin R Harris, Paul J Roebber
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0220630 (2019)
What determines a team's home advantage, and why does it change with time? Is it something about the rowdiness of the hometown crowd? Is it something about the location of the team? Or is it something about the team itself, the quality of the team or
Externí odkaz:
https://doaj.org/article/ffb571fe4313439d8675eb628eeef199
Autor:
Paul J Roebber, David M Schultz
Publikováno v:
PLoS ONE, Vol 6, Iss 4, p e18680 (2011)
Increased competition for research funding has led to growth in proposal submissions and lower funding-success rates. An agent-based model of the funding cycle, accounting for variations in program officer and reviewer behaviors, for a range of fundi
Externí odkaz:
https://doaj.org/article/81822547237b49a7a1f8e4599c4f716e
McCandless et al. (2012) examine eight statistical methods for predicting the snowfall accumulation from the output of the Global Ensemble Forecast System. Some of these results have been previously tested by others, but were not discussed within the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2295::9a874b4d419411cf9c486657c834ba05
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225135
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:225135
