Department of Statistics Homepage

Tue, February 14, 2012 | 11:00AM - 12:00PM | 1011 Evans Hall

Speaker: Nick Ball, Herzberg Institute for Astrophysics

I will give an overview of my work since 2004 on using data mining to perform novel science on large astronomical datasets, focusing on (1) Morphological galaxy classification in the Sloan Digital Sky Survey (SDSS) using artificial neural networks; (2) Star-galaxy separation in the SDSS using decision trees; (3) Photometric redshifts of SDSS and Galaxy Evolution Explorer quasars using k nearest... More >

Geometric Programming: Computational Algebra Seminar

Wed, February 15, 2012 | 1:00PM - 2:00PM | 939 Evans Hall

Speaker: Venkat Chandrasekaran, UC Berkeley and Caltech

This talk will give an introduction to geometric programming. The associated duality theory and relevant applications will be highlighted. The survey by Boyd, Kim, Vandenberghe, and Hassibi titled "A Tutorial on Geometric Programming'' provides a nice overview, and will form the basis of the talk. More >

Random Matrix and Dyson Brownian Motion

Probability Seminar | Wed, February 15, 2012 | 3:10PM - 4:00PM | 332 Evans Hall

Speaker: H.-T. Yau, Harvard University

The Wigner-Dyson-Gaudin-Mehta conjecture asserts that the local eigenvalue statistics of large random matrices in the bulk exhibit universal behavior depending only on the symmetry class of the matrix ensemble. For invariant matrix models, the eigenvalue distributions are given by a log gas with a potential $V$ and inverse temperature $\beta = 1, 2, 4$, corresponding to the orthogonal, unitary... More >

Neyman Seminar: Structured Sparse Estimation with Network Flow Optimization

Neyman Seminar | Wed, February 15, 2012 | 4:00PM - 5:00PM | 1011 Evans Hall

Speaker: Julien Mairal, Postdoctoral Researcher, University of California, Berkeley

Webpage: http://www.stat.berkeley.edu/~bartlett/NeymanSeminarSpring2012.html

Sparse linear models have received a lot of attention in statistics, machine learning, signal processing, computer vision, bio-informatics, and neuroscience. Regularization functions encouraging the solution of a problem to be sparse---that is, to have many zero entries, have proven to be useful for different (equally important) reasons. Parcimony can be a good a priori when the ``true'' solution... More >

Math, Productivity, Happiness and Decision-making: Training focus with the Pomodoro technique (and GTD update)

Wed, February 15, 2012 | 5:10PM - 6:00PM | 740 Evans Hall

Speaker: Nick Hay, Berkeley (CS)

Webpage: http://www.math.berkeley.edu/~critch/mphd/

Maybe we can use this to write our theses sooner! The Pomodoro Technique is an intra-daily time management method developed by Francesco Cirillo in the late 1980s. The technique uses a timer to break down periods of work into 25-minute intervals called `Pomodoros' (from the Italian word for 'tomatoes') separated by breaks. The main idea is that frequent breaks can improve mental agility.... More >

SGSA Seminar: Student Seminar for the Statistics Department

Fri, February 17, 2012 | 4:00PM - 5:00PM

Speaker: Derek Bean, UC Berkeley, Statistics

Abstract: In his classic 1973 paper on M-estimates of p regression parameters based on n samples in the linear model setting, Peter Huber states that the condition p/n tends to 0 "appears to be indispensable for any reasonably simple general asymptotic theory." In this talk, I will review recent work on developing an asymptotic theory for regression M-estimates in high-dimension, i.e. when... More >

Neyman Seminar: Global seismic tomography in the age of numerical wavefield computations

Neyman Seminar | Wed, February 22, 2012 | 4:00PM - 5:00PM | 1011 Evans Hall

Speaker: Barbara Romanowicz, Professor, Department of Earth & Planetary Science, UC Berkeley.

Webpage: http://www.stat.berkeley.edu/~bartlett/NeymanSeminarSpring2012.html

Neyman Seminar: Laplace Deconvolution and Its Application to Analysis of Dynamic Contrast Enhanced Computed Tomography Data

Neyman Seminar | Wed, February 29, 2012 | 4:00PM - 5:00PM | 1011 Evans Hall

Speaker: Marianna Pensky, Professor, Department of Mathematics, University of Central Florida

Webpage: http://www.stat.berkeley.edu/~bartlett/NeymanSeminarSpring2012.html

The study is motivated by analysis of Dynamic Contrast Enhanced Computed Tomography (DCE-CT) data. DCE-CT provides a non-invasive measure of tumor angiogenesis and has great potential for cancer detection and characterization. It offers an in vivo tool for the evaluation and optimization of new therapeutic strategies as well as for longitudinal evaluation of therapeutic impacts of anti-angiogenic... More >

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