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Quantum states are the key mathematical objects in quantum theory. It is therefore surprising that physicists have been unable to agree on what a quantum state represents. There are at least two opposing schools of thought, each almost as old as quantum theory itself. One is that a pure state is a physical property of system, much like position and momentum in classical mechanics. Another is that even a pure state has only a statistical significance, akin to a probability distribution in statistical mechanics. Here we show that, given only very mild assumptions, the statistical interpretation of the quantum state is inconsistent with the predictions of quantum theory....

Hilarious critique to a quite important paper from Stanford trying to push the agenda of global warming .... "You might therefore be surprised that, as I will discuss below, this paper is completely wrong. Nothing in it is correct. It fails in every imaginable respect."

also good overview: https://www.nasa.gov/sites/default/files/atoms/files/noaa_nasa_global_analysis_2015.pdf

just a footnote here, that climate warming aspect is not derived by an agenda of presenting the world with evil. If one looks at big journals with high outreach, it is not uncommon to find articles promoting climate warming as something not bringing the doom that extremists are promoting with marketing strategies. Here is a recent article in Science: http://www.ncbi.nlm.nih.gov/pubmed/26612836 Science's role is to look at the phenomenon and notice what is observed. And here is one saying that the acidification of the ocean due to increase of CO2 (observed phenomenon) is not advancing destructively for coccolithophores (a key type of plankton that builds its shell out of carbonates), as we were expecting, but rather fertilises them! Good news in principle! It could be as well argued from the more sceptics with high "doubting-inertia" that 'It could be because CO2 is not rising in the first place'', but one must not forget that one can doubt the global increase in T with statistical analyses, because it is a complex variable, but at least not the CO2 increase compared to preindustrial levels. in either case : case 1: agenda for 'the world is warming' => - Put random big energy company here- sells renewable energies case 2: agenda for 'the world is fine' => - Put random big energy company here - sells oil as usual The fact that in both cases someone is going to win profits, does not correllate (still not an adequate statistical test found for it?) with the fact that the science needs to be more and more scrutinised. The blog of the Statistics Professor in Univ.Toronto looks interesting approach (I have not understood all the details) and the paper above is from JPL authors, among others.

New Earth climate model based on statistical physics and available on the App Store !

not overly intuitive ...

Big Data bring new opportunities to modern society and challenges to data scientists. On the one hand, Big Data hold great promises for discovering subtle population patterns and heterogeneities that are not possible with small-scale data. On the other hand, the massive sample size and high dimensionality of Big Data introduce unique computational and statistical challenges, including scalability and storage bottleneck, noise accumulation, spurious correlation, incidental endogeneity and measurement errors. These challenges are distinguished and require new computational and statistical paradigm. This paper gives overviews on the salient features of Big Data and how these features impact on paradigm change on statistical and computational methods as well as computing architectures.

Nice paper ...

it seems that there are indications that we are differently wired .... Sex differences in human behavior show adaptive complementarity: Males have better motor and spatial abilities, whereas females have superior memory and social cognition skills. Studies also show sex differences in human brains but do not explain this complementarity. In this work, we modeled the structural connectome using diffusion tensor imaging in a sample of 949 youths (aged 8-22 y, 428 males and 521 females) and discovered unique sex differences in brain connectivity during the course of development. Connection-wise statistical analysis, as well as analysis of regional and global network measures, presented a comprehensive description of network characteristics. In all supratentorial regions, males had greater within-hemispheric connectivity, as well as enhanced modularity and transitivity, whereas between-hemispheric connectivity and cross-module participation predominated in females. However, this effect was reversed in the cerebellar connections. Analysis of these changes developmentally demonstrated differences in trajectory between males and females mainly in adolescence and in adulthood. Overall, the results suggest that male brains are structured to facilitate connectivity between perception and coordinated action, whereas female brains are designed to facilitate communication between analytical and intuitive processing modes.

I like this abstract: sex, sex, sex, sex, SEX, SEX, SEX, SEX...!!! I wonder if the "sex differences" are related to gender-specific differences...

From the statistical analysis of nucleosome positioning data for chromosome III of S. cerevisiae, we demonstrate that long-range correlations (LRC) in the genomic sequence strongly influence the organization of nucleosomes.

Statistical methods of text analysis have become increasingly sophisticated over the years. A good example is automated topic analysis using latent models, two variants of which are Probabilistic latent semantic analysis and Latent Dirichlet Allocation.

Responding to calls from the National Science Foundation (NSF) and White House Office of Science and Technology Policy (OSTP), a working group of the American Statistical Association has developed a whitepaper detailing how statisticians and computer scientists can contribute to administration research initiatives and priorities. The whitepaper includes a lot of topics central to machine learning and data mining, so please take a look.

I guess Norvig is trumping Chomsky big time if this is the attitude of the NSF :)))

This is an interesting viewpoint on the applicability (usefulness) of AI models devised by competitions, backed up by easy statistics. Worth a read!

The pitfalls of statistics :)

and after the software world we will take over all :)

The end is near...

che brutta figura ...

Some quotes: "Our results are in agreement with what Einstein would like to have" - they called him just to double-check... "How many times do you have to say 'zero' to make sure it's zero?" - because statistics is just not trendy any more...

I suggested earlier today that the US military R&D spending was about 75% of all R&D spending worldwide. Leopold called me on it - and I have to admitt: it was BS. Apparently military R&D in the US is ~75% (82 billion $ in 2011) of the total non-health R&D. Unfortunately I could not find the source where I read the 75% figure initially to check their wording. Nonetheless: I think those 82 billion could be spent better (including giving them to me)...

Monopoly is one of the classic American games. It's played amongst close friends, loved ones, and trusted business partners. It's also one of the few times in life where it's perfectly acceptable to want to systematically annihilate and crush the aforementioned friends, loved ones and partners. We broke down the must-know math behind Monopoly as well as several lessons you can take away from what truly is The Most Dangerous Game.

'Oxford philosopher Nick Bostrom has argued that we are more likely to be in such a simulation than not,' writes Frenkel. 'If such simulations are possible in theory, he reasons, then eventually humans will create them - presumably many of them. If this is so, in time there will be many more simulated worlds than nonsimulated ones. Statistically speaking, therefore, we are more likely to be living in a simulated world than the real one.'... right...

interesting stats ...still living longer but enjoying it less?

To follow up our discussio at breakfast

For all your statistics needs. The "Plastic Debris in the World's Oceans Report - UNEP" www.unep.org/regionalseas/marinelitter/.../docs/plastic_ocean_report.pdf‎ "Densities of plastic debris (Moore et al. 2001). Using nets to collect debris, the abundance of floating plastic averaged 334,271 pieces/km2" More worrying maybe is (http://www.ncbi.nlm.nih.gov/pubmed/22610295) "Our oceans eventually serve as a sink for these small plastic particles ("UV degraded surface plastic") and in one estimate, it is thought that 200,000 microplastics per km(2) of the ocean's surface commonly exist."