P
Philip B. Stark
Researcher at University of California, Berkeley
Publications - 190
Citations - 6283
Philip B. Stark is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Audit & Ballot. The author has an hindex of 34, co-authored 175 publications receiving 5328 citations. Previous affiliations of Philip B. Stark include Eastern Illinois University & Georgia Institute of Technology.
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Journal ArticleDOI
Uncertainty principles and signal recovery
David L. Donoho,Philip B. Stark +1 more
TL;DR: In this article, the uncertainty principle can be generalized to cases where the sets of concentration are not intervals, and generalizations explain interesting phenomena in signal recovery problems where there is an interplay of missing data, sparsity, and bandlimiting.
Journal ArticleDOI
Differential Rotation and Dynamics of the Solar Interior
Michael Thompson,Juri Toomre,E. Anderson,H. M. Antia,Gabrielle Berthomieu,D. Burtonclay,S. M. Chitre,Joergen Christensen-Dalsgaard,Thierry Corbard,Marc L. DeRosa,Christopher R. Genovese,Douglas Gough,Deborah A. Haber,J. W. Harvey,Frank Hill,R. Howe,Sylvain G. Korzennik,Alexander G. Kosovichev,John Leibacher,Frank P. Pijpers,Janine Provost,Edward J. Rhodes,Jesper Schou,Takashi Sekii,Philip B. Stark,P. R. Wilson +25 more
TL;DR: Frequency splittings derived from GONG observations confirm that the variation of rotation rate with latitude seen at the surface carries through much of the convection zone, at the base of which is an adjustment layer leading to latitudinally independent rotation at greater depths.
Journal ArticleDOI
Simple prediction of interaction strengths in complex food webs.
Eric L. Berlow,Jennifer A. Dunne,Neo D. Martinez,Philip B. Stark,Richard J. Williams,Ulrich Brose +5 more
TL;DR: It is found that the interaction strength between a pair of species is predicted well by simple functions of the two species' biomasses and the body mass of the species removed, and prediction accuracy increases with network size, suggesting that greater web complexity simplifies predicting interaction strengths.
Journal ArticleDOI
Student Evaluations of Teaching (Mostly) Do Not Measure Teaching Effectiveness
TL;DR: This paper showed that student evaluations of teaching (SET) are biased against female instructors by an amount that is large and statistically significant the bias affects how students rate even putatively objective aspects of teaching, such as how promptly assignments are graded.
Journal ArticleDOI
Five ways to ensure that models serve society: a manifesto.
Andrea Saltelli,Gabriele Bammer,Isabelle Bruno,Erica Charters,Monica Di Fiore,Emmanuel Didier,Wendy Nelson Espeland,John E. Kay,Samuele Lo Piano,Deborah G. Mayo,Roger A. Pielke,Tommaso Portaluri,Theodore M. Porter,Arnald Puy,Ismael Rafols,Jerome R. Ravetz,Erik S. Reinert,Daniel Sarewitz,Philip B. Stark,Andrew Stirling,Jeroen P. van der Sluijs,Paolo Vineis +21 more
TL;DR: Pandemic politics highlight how predictions need to be transparent and humble to invite insight, not blame.