110435
Seminar 217, Risk Management: The Futures Financing Rate
2017-11-28
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1933
Risk Seminar
Secondary
Speaker: Nicholas Gunther
Speaker - Featured
UC Berkeley
Center for Risk Management Research
Happening As Scheduled
110442
Seminar 217, Risk Management:
2017-11-28
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1933
Risk Seminar
Secondary
Speaker:
Speaker - Featured
Center for Risk Management Research
Happening As Scheduled
112695
Regularity and strict positivity of densities for the nonlinear stochastic heat equation
2017-11-29
15:10:00
16:00:00
3:10
4 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
776
Probability Seminar
Secondary
In this talk, I will present some recent progress in understanding the existence, regularity and strict positivity of the (joint-) density of the solution to a semilinear stochastic heat equation. The talk will consists two parts. In the first part, I will show that under a mild cone condition for the diffusion coefficient, one can establish the smooth joint density at multiple points. The tool...
Le Chen
University of Nevada, Las Vegas
Statistics, Department of
Happening As Scheduled
113140
Causal Inference in the Presence of Interference
2017-11-29
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
A fundamental assumption usually made in causal inference is that of no interference between individuals (or units), i.e., the potential outcomes of one individual are assumed to be unaffected by the treatment assignment of other individuals. However, in many settings, this assumption obviously does not hold. For example, in infectious diseases, whether one person becomes infected depends on who...
Michael Hudgens
UNC-Chapel Hill
Statistics, Department of
Happening As Scheduled
112662
GraphXD Seminar
Data-Driven Methods for Learning Sparse Graphical Models
2017-11-30
17:30:00
19:00:00
5:30
7 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
1793
Other Related Seminars
Secondary
Learning models from data has a significant impact on many disciplines, including computer vision, medical imaging, social networks, neuroscience and signal processing. In the network inference problem, one may model the relationships between the network components through an underlying inverse covariance matrix. Learning this graphical model is often challenged by the fact that only a small...
GraphXD Seminar
https://graphxd.github.io/seminar/fall2017.html
Somayeh Sojoudi
Speaker
EECS, Mechanical Engineering
Berkeley Institute for Data Science
Happening As Scheduled
113265
Statistical Inference for Stochastic Approximation and Online Learning via Hierarchical Incremental Gradient Descent
2017-12-06
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
Stochastic gradient descent (SGD) is an immensely popular approach for optimization in settings where data arrives in a stream or data sizes are very large. Despite an ever-increasing volume of works on SGD, less is known about statistical inferential properties of predictions based on SGD solutions. In this paper, we introduce a novel procedure termed HiGrad to conduct inference on predictions,...
Weijie Su
University of Pennsylvania
Statistics, Department of
Happening As Scheduled