1,800,872 research outputs found
Probability and Statistics for Particle Physicists
Lectures presented at the 1st CERN Asia-Europe-Pacific School of High-Energy
Physics, Fukuoka, Japan, 14-27 October 2012. A pedagogical selection of topics
in probability and statistics is presented. Choice and emphasis are driven by
the author's personal experience, predominantly in the context of physics
analyses using experimental data from high-energy physics detectors.Comment: Updated version of lectures given at the First Asia-Europe-Pacific
School of High-Energy Physics, Fukuoka, Japan, 14-27 October 2012. Published
as a CERN Yellow Report (CERN-2014-001) and KEK report
(KEK-Proceedings-2013-8), K. Kawagoe and M. Mulders (eds.), 2014, p. 219.
Total 28 pages, 36 figure
An Essay on the Double Nature of the Probability
Classical statistics and Bayesian statistics refer to the frequentist and
subjective theories of probability respectively. Von Mises and De Finetti, who
authored those conceptualizations, provide interpretations of the probability
that appear incompatible. This discrepancy raises ample debates and the
foundations of the probability calculus emerge as a tricky, open issue so far.
Instead of developing philosophical discussion, this research resorts to
analytical and mathematical methods. We present two theorems that sustain the
validity of both the frequentist and the subjective views on the probability.
Secondly we show how the double facets of the probability turn out to be
consistent within the present logical frame
Evidence: Admission of Mathematical Probability Statistics Held Erroneous for Want of Demonstration of Validity
In State v. Sneed the New Mexico Supreme Court limited its disapproval of evidence of probability statistics to the particular facts presented but failed to articulate specific safeguards for subsequent use of such evidence. This note explores the nature of probability statistics, their potential utility in a legal context, and criteria by which their admissibility might be determined
Asymptotics: Particles, Processes and Inverse Problems. Festschrift for Piet Groeneboom
In September 2006, Piet Groeneboom officially retired as professor of
statistics at Delft University of Technology and the Vrije Universiteit in
Amsterdam. He did so by delivering his farewell lecture `Summa Cogitatio' ([42]
in Piet's publication list) in the Aula of the university in Delft. To
celebrate Piet's impressive contributions to statistics and probability, the
workshop `Asymptotics: particles, processes and inverse problems' was held from
July 10 until July 14, 2006, at the Lorentz Center in Leiden. Many leading
researchers in the fields of probability and statistics gave talks at this
workshop, and it became a memorable event for all who attended, including the
organizers and Piet himself. This volume serves as a Festschrift for Piet
Groeneboom. It contains papers that were presented at the workshop as well as
some other contributions, and it represents the state of the art in the areas
in statistics and probability where Piet has been (and still is) most active.
Furthermore, a short CV of Piet Groeneboom and a list of his publications are
included.Comment: Published at http://dx.doi.org/10.1214/074921707000000247 in the IMS
Lecture Notes Monograph Series
(http://www.imstat.org/publications/lecnotes.htm) by the Institute of
Mathematical Statistics (http://www.imstat.org
Survival probability and order statistics of diffusion on disordered media
We investigate the first passage time t_{j,N} to a given chemical or
Euclidean distance of the first j of a set of N>>1 independent random walkers
all initially placed on a site of a disordered medium. To solve this
order-statistics problem we assume that, for short times, the survival
probability (the probability that a single random walker is not absorbed by a
hyperspherical surface during some time interval) decays for disordered media
in the same way as for Euclidean and some class of deterministic fractal
lattices. This conjecture is checked by simulation on the incipient percolation
aggregate embedded in two dimensions. Arbitrary moments of t_{j,N} are
expressed in terms of an asymptotic series in powers of 1/ln N which is
formally identical to those found for Euclidean and (some class of)
deterministic fractal lattices. The agreement of the asymptotic expressions
with simulation results for the two-dimensional percolation aggregate is good
when the boundary is defined in terms of the chemical distance. The agreement
worsens slightly when the Euclidean distance is used.Comment: 8 pages including 9 figure
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