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1
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M
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Jan. 6
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Course Introduction
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W
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Jan. 8
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Introduction to Statistics
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Using R Markdown/Common Mathematical Notation
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2
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M
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Jan. 13
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Probability Refresher
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W
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Jan. 15
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Probability Refresher
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Data simulation techniques
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3
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M
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Jan. 20
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No class (MLK Day)
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W
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Jan. 22
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Snow Day!
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Snow Day (no Lab)
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4
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M
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Jan. 27
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Principles of Bayesian Inference (Part 1)
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W
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Jan. 29
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Principles of Bayesian Inference (Part 2)
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Basic MCMC
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5
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M
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Feb. 3
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Introduction to Linear Models and Nimble
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W
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Feb. 5
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Generalized Linear Model Review
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Regression analysis using Nimble
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6
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M
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Feb. 10
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Informative Priors
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W
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Feb. 12
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Random Effects
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Choosing Priors
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7
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M
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Feb. 17
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State Space Models
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W
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Feb. 19
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More State Space Models
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8
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M
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Feb. 24
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N-mixture Models
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W
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Feb. 26
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Dynamic N-mixture
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Missing Data
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9
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M
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Mar. 3
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Spring Break - No Class
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W
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Mar. 5
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Spring Break - No Class
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10
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M
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Mar. 10
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Occupancy Models
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W
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Mar. 12
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Dynamic Occupancy Models
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Goodness of Fit tests
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11
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M
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Mar. 17
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Simple Movement Models
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W
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Mar. 19
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More Movement Models
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Lab 8: RSFs
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12
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M
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Mar. 24
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Simple CMR for Abundance
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W
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Mar. 26
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Closed SCR
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Lab 9: SCR
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13
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M
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Mar. 31
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Known Fate
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W
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Apr. 2
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CJS Models
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Lab 10
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14
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M
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Apr. 7
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Continuous Time CJS
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W
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Apr. 9
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Multi-state CMR
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Lab 11
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15
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M
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Apr. 14
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TBD
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W
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Apr. 16
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TBD
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Lab 12
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16
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M
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Apr. 21
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TBD
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W
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Apr. 23
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Lab 13
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17
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M
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Apr. 28
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