
STEINS METHOD AND APPLICATIONS:

Venue: 
IMS Auditorium 
Monday, 4 August 2003 

9:20am 9:30am 
Opening Remarks 
9:30am 10:20am 
Stein's method and normal approximation
(Lecture 1) 
10:20am 10:40am 
 Tea break  
10:40am 11:30am 
Stein's method and normal approximation
(Lecture 2) 
11:30am 2:30pm 
 Lunch break  
2:30pm 3:20pm 
Stein's method, Poisson and compound
Poisson approximations (Lecture 1) 
3:20pm 3:40pm 
 Tea break  
3:40pm 4:30pm 
Stein's method, Poisson and compound
Poisson approximations (Lecture 2) 
Tuesday, 5 August 2003 

9:30am 10:20am 
Stein's method and normal approximation
(Lecture 3) 
10:20am 10:40am 
 Tea break  
10:40am 11:30am 
Stein's method and normal approximation
(Lecture 4) 
11:30am 2:30pm 
 Lunch break  
2:30pm 3:20pm 
Stein's method, Poisson and compound
Poisson approximations (Lecture 3) 
3:20pm 3:40pm 
 Tea break  
3:40pm 4:30pm 
Stein's method, Poisson and compound
Poisson approximations (Lecture 4) 
Wednesday, 6 August 2003 

9:30am 10:20am 
Stein's method and Poisson
process approximation (Lecture 1) 
10:20am 10:40am 
 Tea break  
10:40am 11:30am 
Stein's method and Poisson
process approximation (Lecture 2) 
11:30am 2:30pm 
 Lunch break  
2:30pm 3:20pm 
Stein's method for
chisquare distribution, law of large numbers and discrete
distributions from a Gibbs viewpoint (Lecture 1) 
3:20pm 3:40pm 
 Tea break  
3:40pm 4:30pm 
Stein's method for
chisquare distribution, law of large numbers and discrete
distributions from a Gibbs viewpoint (Lecture 2) 
Thursday, 7 August 2003 

9:30am 10:20am 
Stein's method and Poisson
process approximation (Lecture 3) 
10:20am 10:40am 
 Tea break  
10:40am 11:30am 
Stein's method and Poisson
process approximation (Lecture 4) 
11:30am 2:30pm 
 Lunch break  
2:30pm 3:20pm 
Stein's method for
chisquare distribution, law of large numbers and discrete
distributions from a Gibbs viewpoint (Lecture 3) 
3:20pm 3:40pm 
 Tea break  
3:40pm 4:30pm 
Stein's method for
chisquare distribution, law of large numbers and discrete
distributions from a Gibbs viewpoint (Lecture 4) 