[UAI] MSHT workshop -- Paris, May 15-16 -- (registration is free) 
                            CALL  FOR  PARTICIPATION

                    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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    Registration is free. Still, please email siuarxh.undsheb@inria.fr
             to facilitate the organization of the workshop.


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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),
- identification of a set of tax frauds,
- others.

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.

The workshop will take place in Paris down town, in the beautiful
UniversitÃ© Paris-V, close to Saint Germain des PrÃ©s.

Schedule:           http://www.lri.fr/~teytaud/sched.html
Venue:              http://www.lri.fr/~teytaud/risq
More information:   http://www.lri.fr/~teytaud/risq


