----Original Message-----
From: Olivier Teytaud [mailto:[log in to unmask]]
Sent: vendredi 5 janvier 2007 13:01
To: Olivier Teytaud
Subject: Multiple Simultaneous Hypothesis Testing --- Type I and Type II
Errors --- Pascal NoE
[apologies for cross postings]
CALL FOR PAPERS
TYPE I AND TYPE II ERRORS FOR MULTIPLE
SIMULTANEOUS HYPOTHESIS TESTING
Paris, France, May 15-16
Workshop and International Journal Special Issue
Pascal Challenge
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Multiple Simultaneous Hypothesis Testing is a main issue in many areas
of information extraction:
- rule extraction,
- validation of genes influence,
- validation of spatio-temporal patterns extraction (e.g. in brain
imaging),
- other forms of spatial or temporal data (e.g. spatial collocation
rule),
- other multiple hypothesis testing.
In all above frameworks, the goal is to extract patterns such that some
quantity of interest is significantly greater than some given threshold:
in rule extraction, the goal typically is the extraction of rules with
confidence, lift and support significantly higher than a given
threshold;
in multiple hypothesis testing, the goal typically is the extraction of
significant comparisons among various averages simultaneously; in
spatio-temporal patterns extraction, the goal typically is the
extraction of areas with correlation significantly higher than a given
threshold.
Along these lines, a type I error is to extract an entity which does not
satisfy the considered constraint while a type II error is to miss an
entity which does satisfy the constraint. How to estimate, bound, or
(even better !) reduce type I and type II errors are the goals of the
proposed challenge.
VC-theory, empirical process and various approaches related to
simultaneous hypothesis testings are fully relevant, as well as specific
approaches, e.g. based on simulations, resamplings or probes. The
challenge consists in extending previous results to the field of
simultaneous hypothesis testing, or proposing new results specifically
related to this topic.
We welcome survey papers related to type I and type II errors, and
papers presenting new results, proposing theoretical bounds or smart
empirical experiments. In the latter case, the experimental setting as
well as the algorithmic principles and explicit criteria must be
carefully described and discussed; the use of publicly available
software will be much appreciated.
Results combining type I and type II risk are particularly welcome.
Asymptotic and non-asymptotic results are equally welcome.
Important dates
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Deadline for submissions : February, 10th, 2007.
Notification of acceptance : March, 2007.
Challenge Workshop : May, 15-16th, 2007.
Submissions
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Submissions (in PS or PDF, max. 18 pages llncs) should be submitted by
email to "[log in to unmask]".
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http://www.lri.fr/~teytaud/risq
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