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Statistical Distribution of Crystallographic Groups for Inorganic Crystal Structure Database
Statistical Distribution Crystallographic Groups Inorganic Crystal Structure Database
2011/7/6
We introduce a method that defines the species (representatives) of inorganic compounds, and studied the statistical distribution of the defined species among space groups (distribution of space group...
Discussion of "Statistical Inference: The Big Picture" by R. E. Kass
Discussion Statistical Inference The Big Picture R. E. Kass
2011/7/6
Rob Kass presents a fascinating vision of a “post”-Bayes/frequentist-controversy world in which prac-tical utility of statistical models is the guiding prin-ciple for statistical inference.
Discussion of "Statistical Inference: The Big Picture" by R. E. Kass
Discussion Statistical Inference Big Picture R. E. Kass
2011/7/5
Kass states (page 5) that Figure 3 is not a good general description of statistical inference and that Figure 1 is more accurate. I completely agree. Kass states (page 5) that “It is important for stu...
Discussion of "Statistical Inference: The Big Picture" by R. E. Kass
Discussion Statistical Inference The Big Picture R. E. Kass
2011/7/5
In this piece, Rob Kass brings to bear his insights from a long career in both theoretical and applied statistics to reflect on the disconnect between what we teach and what we do.
Discussion of "Statistical Inference: The Big Picture" by R. E. Kass [arXiv:1106.2895]
Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression.
Statistical Inference: The Big Picture
Bayesian confidence frequentist statistical education
2011/7/5
Statistics has moved beyond the frequentist-Bayesian controversies of the past. Where does this leave our ability to interpret results?
We investigate statistical inference across time scales. We take as toy model the estimation of the intensity of a discretely observed compound Poisson process with symmetric Bernoulli jumps.
On statistical properties of sets fulfilling rolling-type conditions
r-convexity positive reach rolling condition Glivenko-Cantelli classes set estimation boundary length excess mass
2011/6/20
Motivated by set estimation problems, we consider three closely related shape conditions
for compact sets: positive reach, r-convexity and rolling condition. First, the
relations between these shape...
Remarks on the statistical study of protein-protein interaction in living cells
Maximum likelihood multi-exponential model model selection FRET FLIM TCSPC
2011/6/20
In this note, we focus on a selection model problem: a monoexponential
model versus a bi-exponential one. This is done in the biological
context of living cells, where small data are available. Clas...
Information Theory and Statistical Mechanics Revisited
predictive statistical mechanics maximum entropy likelihood probability information entropy
2011/6/21
The statistical mechanics of Gibbs is a juxtaposition of subjective, probabilistic ideas on the one
hand and objective, mechanical ideas on the other. From the mechanics point of view, the term ‘stat...
Rejoinder: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
Climate change global warming paleoclimatology tempera-ture reconstruction model validation cross-validation time series
2011/6/17
We heartily thank Michael Stein and Brad Efron for selecting our paper
for discussion and for the tremendous task of recruiting and editing 13 discussion
articles on this controversial and timely to...
Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
reconstructions of surface temperatures statistical analysis
2011/6/17
McShane andWyner (2011) (henceforthMW) analyze a dataset of “proxy”
climate records previously used by Mann et al. (2008) (henceforth M08) to
attempt to assess their utility in reconstructing past t...
Geometric sensitivity of random matrix results: consequences for shrinkage estimators of covariance and related statistical methods
random matrix related statistical shrinkage estimators
2011/6/16
Shrinkage estimators of covariance are an important tool in modern applied and theoretical statistics.
They play a key role in regularized estimation problems, such as ridge regression (aka Tykhonov
...
Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
reconstructions of surface temperatures statistical analysis paleoclimate reconstructions
2011/6/16
As McShane and Wyner (2011) observe, there are formidable statistical
problems in “reconstructing” past temperatures from networks of so-called
“proxy” data with weak “signal” and complicated autoco...