Ricordo i seguenti seminari che si svolgeranno presso
CNR IMATI, via Alfonso Corti 12, Milano, Aula A
Giovedì 3 maggio 2018, ore 15:00 - 16:30
[notare il cambio di aula; gentilmente scrivere a
simona(a)mi.imati.cnr.it se si intende partecipare]
1) Refik Soyer, School of Business, George Washington University ore
15:00-15:45
BAYESIAN MODELING OF NON GAUSSIAN MULTIVARIATE TIME SERIES
Abstract: Modeling of multivariate non Gaussian time series of correlated
observations is considered. In so doing, we focus on time series from
multivariate counts and durations.
Dependence among series arises as a result of sharing a common dynamic
environment. We discuss characteristics of the resulting multivariate time
series models and develop Bayesian inference for them using particle
filtering and Markov chain Monte Carlo methods.
We illustrate application of the proposed approach using conditionally
multivariate Poisson and gamma time series.
Joint work with Tevfik Aktekin, University of New Hampshire and
Nicholas Polson, University of Chicago
2) Nicholas Polson, Booth School of Business, University of Chicago
ore 15:45-16:30
DEEP LEARNING: A BAYESIAN PERSPECTIVE
Deep learning is a form of machine learning for nonlinear high dimensional
pattern matching and prediction. By taking a Bayesian probabilistic
perspective, we provide a number of insights into more efficient
algorithms
for optimisation and hyper-parameter tuning. Traditional high-dimensional
data reduction techniques, such as principal component analysis (PCA),
partial least squares (PLS), reduced rank regression (RRR), projection
pursuit
regression (PPR) are all shown to be shallow learners. Their deep learning
counterparts exploit multiple deep layers of data reduction which provide
predictive performance gains. Stochastic gradient descent (SGD)
training optimisation and Dropout (DO) regularization provide
estimation and variable
selection. Bayesian regularization is central to finding weights and
connections in networks to optimize the predictive bias-variance
trade-off. To illustrate our methodology, we provide an analysis of
international bookings on Airbnb. Finally, we conclude with directions
for future research.
Joint work with Vladimir Sokolov, Sistems Engineering and Operations
Research, George Mason University
--
Dr Antonio Pievatolo
IMATI-CNR
http://www.imati.cnr.it/joomla/index.php/people?layout=edit&id=101
Il giorno venerdì 11 maggio alle ore 14.30 presso la Aula Seminari
4026 del DISMEQ al IV piano dell'edificio U7, il dott. Marco Patacca
della Università di Perugia terrà un seminario su
"Bitcoin prices and market attention"
Abstract
In this work we measure market attention by applying several filters
on time series for the trading volume or the SVI Google searches
index. We analyze relative impact of these measures either on the mean
or on the variance of Bitcoin returns by fitting non linear
econometric models to historical data from January 1, 2012 to December
31, 2017; two non-overlapping subsamples are also considered. Outcomes
confirm our conjecture that market attention has an impact on Bitcoin
returns. Specifically, trading volume related measures affect both the
mean and the conditional variance of Bitcoin returns while internet
searches volume mainly affects the conditional variance of returns.
Motivated by these evidences we propose a continuous time model for
Bitcoin price, we obtain an approximate formula for the likelihood and
we fit the model to historical data (joint work with Gianna
Figà-Talamanca).
Tutti gli interessati sono invitati a partecipare.
--
Prof. Fabio Bellini
Department of Statistics and Quantitative Methods
University of Milano-Bicocca
Via Bicocca degli Arcimboldi 8, 20126 Milano
0039-2-64483119
http://scholar.google.it/citations?user=P61L8P4AAAAJ&hl=it
A message from Johanna Ziegel and Riccardo Gatto:
UNIVERSITY OF BERN
(INSTITUTE OF MATHEMATICAL STATISTICS AND ACTUARIAL SCIENCE)
PhD POSITION in STATISTICS
Funding is available for a PhD student (3 years) to work on a project
in one of the following areas: Statistical forecasting including
elicitability and related topics, stochastic simulation, large
deviations and related computational techniques. The student will be
supervised by Prof. Johanna Ziegel or Prof. Riccardo Gatto depending
on the choice of topic.
The prospective PhD student should have a solid background in
mathematics, mathematical statistics and/or probability theory.
The salary will be at the level foreseen by the SNF for PhD students,
see http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_d.pdf.
There might be a possibility to complement the salary by taking up
teaching and statistical consulting duties.
The starting date is 1 September 2018 or by mutual agreement.
Applications (cover letter, CV, and transcripts from the studies)
giving the name and address (postal and e-mail) of an academic referee
should be e-mailed as a single file to
Prof. Johanna Ziegel
johanna.ziegel(a)stat.unibe.ch
and
Prof. Riccardo Gatto
riccardo.gatto(a)stat.unibe.ch
All applications received before 10 June 2018 will be considered.
Later applications will be considered until the position is filled.
Informal e-mail enquiries are welcome. http://www.imsv.unibe.ch
Dear Collegues,
We are pleased to announce the workshop "Three Days in Quantum
Mechanics", which will take place on June 6-8, 2018 in Genoa - Italy.
The workshop will be focused on the the mathematical aspects of Quantum
Information and Quantum Incompatibility, with a particular reference to
- quantum tomography;
- quantum uncertainty relations and information-disturbance tradeoff;
- quantum entanglement;
- open quantum systems.
The purpose of the workshop is to take stock of most recent significant
advances and insights on the above topics, and enable the participants
to jointly explore future directions and forge new collaborations. You
can find some more information and an updated list of speakers at the
following link:
https://www.ge.infn.it/~toigo/
Looking forward to seeing you in Genoa!
With best regards,
The Organizing Committee
Claudio Carmeli, Paolo Solinas, Alessandro Toigo, Bassano Vacchini, Nino
Zanghi'.
--
Prof. Alberto Barchielli
Politecnico di Milano, Dipartimento di Matematica,
Piazza Leonardo da Vinci 32, I-20133 Milano, Italy
tel +39 0223994559
fax +39 0223994513
http://www.mate.polimi.it/qp/http://www.springer.com/978-3-642-01297-6