daniellefong.com
Climate Change Skeptics | Insights by Danielle Fong
https://daniellefong.com/2009/10/11/climate-change-skeptics
Insights by Danielle Fong. Notes from a girl from the future. I don’t understand the reasoning of so many ‘climate change skeptics.’. The infrared is significantly absorbed by the glass, largely radiated back to the box, and thus the largest channel for cooling — essentially the only one capable of sustained cooling in the long term — has been attenuated. Now replace the black box by Earth, the lightbulb by the sun, and the glass by CO2. But that’s a philosophical disagreement. One might say th...For tho...
climate-resistance.org
Trust Me, I Speak for Science | Climate Resistance
http://www.climate-resistance.org/2011/05/trust-me-i-speak-for-science.html
Laquo; Hope, Fear, and Miliband. The Ecology of Stupid. Trust Me, I Speak for Science. May 6, 2011. Elsewhere in the debate, the question ‘in whom do we trust’ rings just as loudly…. Roger Pielke Jr had a funny post. Recently, about angry liberal science-warrior, Chris Mooney. Here it is in full:. Chris Mooney explains the biological mechanisms. That have led experts to be able to protect their minds against the corrosive effects of ideology and politics:. 8216; (i.e. calling those who don’...It is in th...
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: How biased are maximum entropy models?
http://robustmathematicalmodeling.blogspot.com/2011/11/how-biased-are-maximum-entropy-models.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Sunday, November 27, 2011. How biased are maximum entropy models? This is of interest to the Experimental Probabilistic Hypersurface. Approach which computes the probability distribution.that maximizes entropy. For difficult to compute models (read too long to run on a computer). Here is the paper: How biased are maximum entropy models? By Jakob H. Macke,. Peter E. Latham. The abstract reads:. Subscribe to: Post Comments (Atom).
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: Uncertainty Quantification at the Statistical and Applied Mathematical Sciences Institute
http://robustmathematicalmodeling.blogspot.com/2011/11/uncertainty-quantification-at.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Friday, November 25, 2011. Uncertainty Quantification at the Statistical and Applied Mathematical Sciences Institute. Here are different videos available from the Statistical and Applied Mathematical Sciences Institute. That features several workshops on Uncertainty Quantification:. See their 2011-12 Program on Uncertainty Quantification. October 14, 2011. October 14, 2011. October 14, 2011. October 14, 2011. September 9, 2011.
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: November 2011
http://robustmathematicalmodeling.blogspot.com/2011_11_01_archive.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Sunday, November 27, 2011. How biased are maximum entropy models? This is of interest to the Experimental Probabilistic Hypersurface. Approach which computes the probability distribution.that maximizes entropy. For difficult to compute models (read too long to run on a computer). Here is the paper: How biased are maximum entropy models? By Jakob H. Macke,. Peter E. Latham. The abstract reads:. Friday, November 25, 2011. Dr Adr...
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: IFIP Working Conference on Uncertainty Quantification in Scientific Computing
http://robustmathematicalmodeling.blogspot.com/2011/10/ifip-working-conference-on-uncertainty.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Friday, October 14, 2011. IFIP Working Conference on Uncertainty Quantification in Scientific Computing. I just came across the following presentations at the IFIP Working Conference on Uncertainty Quantification in Scientific Computing. Held at the Millennium Harvest House in Boulder, on August 1-4, 2011. Here are the talks and some abstracts:. I: Uncertainty Quantification Need: Risk, Policy, and Decision Making. For aleator...
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: Why Economics Needs Data Mining
http://robustmathematicalmodeling.blogspot.com/2011/12/why-economics-needs-data-mining.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Wednesday, December 28, 2011. Why Economics Needs Data Mining. From Mathbabe's Economist versus quant. Video is featured in INET's website. Subscribe to: Post Comments (Atom). The Robust Mathematical Group at SCM. Description of the program starts here. Enter your email address:. Congrats to John Moeller, Ph.D. My student John Moeller (moeller.fyi) just defended his Ph.D thesis today! Hypersonics Basic and Applied Lectures.
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: December 2011
http://robustmathematicalmodeling.blogspot.com/2011_12_01_archive.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Wednesday, December 28, 2011. Why Economics Needs Data Mining. From Mathbabe's Economist versus quant. Video is featured in INET's website. Subscribe to: Posts (Atom). The Robust Mathematical Group at SCM. Description of the program starts here. Enter your email address:. Bayes, reproducibility, and the quest for truth. KDnuggets: Data Mining and Analytics. 7 Big Data Steps in Health Science. Take that, Bruno Frey! Regular rea...
robustmathematicalmodeling.blogspot.com
The Robust Mathematical Modeling Blog: October 2011
http://robustmathematicalmodeling.blogspot.com/2011_10_01_archive.html
The Robust Mathematical Modeling Blog. When modeling Reality is not an option. Friday, October 14, 2011. IFIP Working Conference on Uncertainty Quantification in Scientific Computing. I just came across the following presentations at the IFIP Working Conference on Uncertainty Quantification in Scientific Computing. Held at the Millennium Harvest House in Boulder, on August 1-4, 2011. Here are the talks and some abstracts:. I: Uncertainty Quantification Need: Risk, Policy, and Decision Making. For aleator...
