r e v i e w
F o c u s o n N e u r a l C o m p u tat i o n a n d T h e o r y
Computational principles of memory
Rishidev Chaudhuri & Ila Fiete
npg
2016 Nature America, Inc. All rights reserved.
The ability to store and later use information is essential

Biostatistics-Lecture 14
Generalized Additive Models
Ruibin Xi
Peking University
School of Mathematical Sciences
Generalized Additive models
Gillibrand et al. (2007) studied the
bioluminescence-depth relationship
Generalized Additive models
Gillibrand e

Biostatistics-Lecture 3
Ruibin Xi
Peking University
School of Mathematical Sciences
Supervised versus unsupervised
Supervised
You have an outcome Y
and some covariates X You typically want to solve
something like argminf E[(Yf(X)2]
Unsupervised
You h

Biostatistics-Lecture 4
Ruibin Xi
Peking University
School of Mathematical Sciences
Markov Models
A discrete (finite) system:
N distinct states.
Begins (at time t=1) in some initial state(s).
At each time step (t=1,2,) the system moves
from current to

Department of Biostatistics
Survival analysis two groups
Theis Lange
Department of Biostatistics, University of Copenhagen
&
Center for Statistical Science, Peking University.
Mail: thlan@sund.ku.dk
Dias 1
Department of Biostatistics
Survival data
The out

Department of Biostatistics
Survival analysis Cox models
Theis Lange
Department of Biostatistics, University of Copenhagen
&
Center for Statistical Science, Peking University.
Mail: thlan@sund.ku.dk
Dias 1
Department of Biostatistics
Follow-up from Tuesda

Biostatistics-Lecture 6
Estimation, confidence interval and hypothesis testing
Ruibin Xi
Peking University
School of Mathematical Sciences
Some Results in Probability (1)
Suppose that X, Y are independent ( X Y )
E(cX) = ? (c is a constant)
E(X+Y) = ?

Biostatistics-Lecture 10
Regression
Ruibin Xi
Peking University
School of Mathematical Sciences
Analysis of Variance (ANOVA)
Consider the Iris data again
Want to see if the average sepal widths of the
three species are the same
1 , 2, 3 : the mean sepa

Biostatistics-Lecture 1
Ruibin Xi
Peking University
School of Mathematical Sciences
Why Statistics
I keep saying the sexy job in the next ten years
will be statisticians. People think I'm joking,
but who would've guessed that computer
engineers would've b

Department of Biostatistics
Survival analysis pitfalls and more thoughts on time
Theis Lange
Department of Biostatistics, University of Copenhagen
&
Center for Statistical Science, Peking University.
Mail: thlan@sund.ku.dk
Dias 1
Department of Biostatisti

Department of Biostatistics
Test in 2by2 tables, RCTs, and power
Theis Lange
Department of Biostatistics, University of Copenhagen
&
Center for Statistical Science, Peking University.
Mail: thlan@sund.ku.dk
Dias 1
Department of Biostatistics
TESTS IN COUN

Biostatistics-Lecture 9
Multiple testing
Ruibin Xi
Peking University
School of Mathematical Sciences
Errors in hypothesis testing
1-
Power = 1-
Why multiple testing
Why multiple testing
In general, perform m hypothesis testing,
what is the probability o

JOURNALOF
NEUROPHYSIOLOGY
Vol. 75, No. 6, June 1996. Printed in U.S.A.
Coding of Time-Varying Electric Field Amplitude Modulations in a
Wave-Type Electric Fish
RALF WESSEL, CHRISTOF KOCH, AND FABRIZIO GABBIANI
Neurobiology Unit, Scripps Institution of Oce

Biostatistics-Lecture 2
Ruibin Xi
Peking University
School of Mathematical Sciences
Exploratory data analysis (EDA)
Importance of Plotting
Statistical test/summary or plot ?
This doesn't mean don't think!
Choosing how to make plots and
using them to convi