引用次数
引用: 31,469
H-指数: 69
I10-指数 : 209
出版物: 387
Genealogies in Growing Solid Tumors
Duke U. Rick Durrett
bioRxiv 244160
1
2018
Lessons on Pattern Formation from Planet WATOR
RICK DURRETT , SIMON LEVIN
Journal of Theoretical Biology 205 ( 2) 201 -214
30
2000
ASYMPTOTIC BEHAVIOR OF THE
IRINA CRISTALI , VINIT RANJAN , JAKE STEINBERG , ERIN BECKMAN
arXiv preprint arXiv:1708.05626
2017
THE ANNALS
KRZYSZTOF BURDZY , ZHEN-QING CHEN , DONALD MARSHALL , LOUIGI ADDARIO-BERRY
JAMES DOLAN
RICK DURRETT , E WEINAN
Mathematics Unlimited-2001 and Beyond
2000
THE ANNALS
MARTIN HAIRER , MARTIN HUTZENTHALER , ARNULF JENTZEN , FEDERICO CAMIA
THE ANNALS
JENNIFER E STARLING , JARED S MURRAY , CARLOS M CARVALHO , RADEK K BUKOWSKI
1
THE ANNALS
LORENZO BERTINI , ALESSANDRA FAGGIONATO , DAVIDE GABRIELLI , KRZYSZTOF ŁATUSZY
THE ANNALS
ALESSANDRA FAGGIONATO , FABIO MARTINELLI , CYRIL ROBERTO
THE ANNALS
RYAN J TIBSHIRANI , LARRY WASSERMAN , JINYUAN CHANG , CHENG YONG TANG
Bayesian and maximum likelihood estimation of genetic maps.
THOMAS L. YORK , RICHARD T. DURRETT , STEVEN TANKSLEY , RASMUS NIELSEN
Genetics Research 85 ( 2) 159 -168
4
2005
function in GI/G/1:. BILLARD, L. A stochastic general epidemic in m sub-populations..
J DUNNAGE , ME Solari , RT DURRETT , SG GHURYE
Smpte Journal
THE ANNALS
CHRISTOPHE ANDRIEU , VLADISLAV B TADI , MATTI VIHOLA , DANIEL HERNANDEZ-HERNANDEZ
The Annals of Applied Probability 31 ( 5) 2019 -2517
2021
Cornell University, Cornell University and Universidade de São Paulo
RICHARD DURRETT , RoBERTo H ScHoNMANN
The Annals of Probability 17 ( 4) 1303 -1321
1989
SPECIAL INVITED PAPER
RICHARD DURRETT
The Annals of Probability 12 ( 4) 999 -1040
1984
UCLA and University of Wisconsin
RICHARD DURRETT , DAvD GRIFFEAT
The Annals of Probability 11 ( 1) 1 -15
1983
Syracuse University and University of California, Los Angeles Let t (r, y) be the passage time from x to y in Z" in a percolation process
J THEoDoRE Cox , RICHARD DURRETT
The Annals of Probability 9 ( 4) 583 -603
1981
THE ANNALS
RICHARD DURRETT , SIDNEY I RESNICK
The Annals of Probability 6 ( 5)
1978
Let (vg, k= 0) be a discrete time Markov process with state space E c (–co, co) and let S be a proper subset of E. In several applications it is of interest to know the behavior of the system after a large number of steps, given that the process has not entered S. In this paper we show
RICHARD DURRETT
The Annals of Probability 6 ( 5) 798 -828
1978
PREPARED UNDE _ ONTRACT N00014-76-C-0578 (NR-042-343)
RICHARD DURRETT
1976