2009 | UCDavis - Department of Statistics

«	2009					»

Jan
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Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Feb
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9	10	11	12	13	14	15
16	17	18	19	20	21	22
23	24	25	26	27	28

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Mar
M	T	W	T	F	S	S
						1
2	3	4	5	6	7	8
9	10	11	12	13	14	15
16	17	18	19	20	21	22
23	24	25	26	27	28	29
30	31

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Apr
M	T	W	T	F	S	S
		1	2	3	4	5
6	7	8	9	10	11	12
13	14	15	16	17	18	19
20	21	22	23	24	25	26
27	28	29	30

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

May
M	T	W	T	F	S	S
				1	2	3
4	5	6	7	8	9	10
11	12	13	14	15	16	17
18	19	20	21	22	23	24
25	26	27	28	29	30	31

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Jun
M	T	W	T	F	S	S
1	2	3	4	5	6	7
8	9	10	11	12	13	14
15	16	17	18	19	20	21
22	23	24	25	26	27	28
29	30

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Jul
M	T	W	T	F	S	S
		1	2	3	4	5
6	7	8	9	10	11	12
13	14	15	16	17	18	19
20	21	22	23	24	25	26
27	28	29	30	31

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Aug
M	T	W	T	F	S	S
					1	2
3	4	5	6	7	8	9
10	11	12	13	14	15	16
17	18	19	20	21	22	23
24	25	26	27	28	29	30
31

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Sep
M	T	W	T	F	S	S
	1	2	3	4	5	6
7	8	9	10	11	12	13
14	15	16	17	18	19	20
21	22	23	24	25	26	27
28	29	30

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Oct
M	T	W	T	F	S	S
			1	2	3	4
5	6	7	8	9	10	11
12	13	14	15	16	17	18
19	20	21	22	23	24	25
26	27	28	29	30	31

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Nov
M	T	W	T	F	S	S
						1
2	3	4	5	6	7	8
9	10	11	12	13	14	15
16	17	18	19	20	21	22
23	24	25	26	27	28	29
30

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Dec
M	T	W	T	F	S	S
	1	2	3	4	5	6
7	8	9	10	11	12	13
14	15	16	17	18	19	20
21	22	23	24	25	26	27
28	29	30	31

Upcoming Events by Day (18 Nov 2009):

Wednesday Nov 18

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Ru Wang Network Inference Based on High Dimensional Genomic Data

Thursday Nov 19

Seminar 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Friday Nov 20

Seminar (cont.) 4:10 pm STA/BST 290: Naoki Saito (Math, UC Davis) Laplacian eigenfunctions that do not feel the boundary: Theory, Computation, and Applications

Monday Nov 23

Exams 9:00 am 9:00 am - 12:00 pm Ph.D. Qualifying Exam in Statistics: Jun Chen Propagation-Separation Approach for Local Likelihood Estimation and its Application in Diffusion Tensor Imaging

Thursday Dec 3

Seminar 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

Friday Dec 4

Seminar (cont.) 4:10 pm STA/BST 290: Christopher Paciorek (UC Berkeley) The importance of scale for spatial-confounding bias and precision of spatial regression estimators

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