Date

Lecture topics

Lab topics

Reading

Jan 3
(MS)



CM09: Chap 1

Jan 5
(MS)



Matrices in R & matrix algebra

Linear regression in matrix form

Basic matrix and ts functions in R

ACF & PACF for model identification

CM09:
Chaps 2 & 4

Jan 10
(MS)



CM09:
Chaps 4 & 6

Jan 12
(EW)




Jan 17
(EH)




Jan 19
(EH)



HWS14:
Chaps 7 & 8

Jan 24
(EH)



HWS14: Chap 12

Jan 26
(EW)




Jan 31
(MS)



Lamon et al. (1998)
HWS14: Chap 15

Feb 2
(MS)




Feb 7
(EH)



Hyndman & Athanasopoulos: Chap 7.

Feb 9
(MS)



Zuur et al. (2003)
HWS14: Chap 9
Ohlberger et al. (2016)

Feb 14
(EW)


Overview of Bayesian estimation

DLMs, DFA, MARSS, SS models



Feb 16
(EW)




Feb 21
(EW)




Feb 23
(EH)

B matrix estimation I

Intro to Gompertz models, aka AR(1) and ARX(1)

Estimating species/population interactions from time series data

Meeting with students

3:00 Eric: Lucas, Eli: Melanie

3:20 Eric: Brianne, Eli: Vincent

3:40 Eli/Eric: Silvana

Ives et al (2003)
HWS14: Chap 13

Feb 28
(EH)

B matrix estimation II


Ives et al (2003)
Hampton et al (2013)

Mar 2
(EH/MS)



2:30 Surakshya, Melanie, Lukas

3:00 Brianne, Mike, Silvana

3:30 Vincent


Mar 7




Mar 9



