* Seuraavan viikon tapahtumat merkitty tähdellä
Professor Klaus Nordhausen (University of Helsinki)
On the usage of joint diagonalization in multivariate statistics
* Monday 20 January 2025, 14:15, Y313
Scatter matrices generalize the covariance matrix and are useful in many multivariate data analysis methods, including principal component analysis, which is usually based on the diagonalization of the covariance matrix. The simultaneous diagonalization of two or more scatter matrices goes beyond PCA and is used more and more often. In this talk, we offer an overview of many methods that are based on joint diagonalization. These methods range from the unsupervised context with invariant coordinate selection and blind source separation, which includes independent component analysis, to the supervised context with linear discriminant analysis and sliced inverse regression. They also encompass methods that handle dependent data such as time series or spatial data.
Liam Hughes (Aalto)
Conformal loop ensembles
* Tuesday 21 January 2025, 10:15, M3 (M234)
Theo Elenius
Anzellotti pairings and applications to problems with linear growth
* Wednesday 22 January 2025, 10:15, M3 (M234)
Seminar on analysis and geometry
Antti Autio
In search of the hidden structure: approximation of a parametric diffusion equation.
* Wednesday 22 January 2025, 14:00, M2 (M233)
Gerardo Barrera (University of Lisbon)
TBA
Tuesday 04 February 2025, 10:15, M3 (M234)
Michał Borowski (University of Warsaw)
Approximation in variational problems
Wednesday 05 February 2025, 10:15, M3 (M234)
Seminar on analysis and geometry
Sami Vihko (University of Helsinki)
TBA
Tuesday 11 February 2025, 10:15, M3 (M234)
Prof Joni Virta (University of Turku)
Unsupervised linear discrimination using skewness
Wednesday 12 February 2025, 10:15, M237
It is known that, in Gaussian two-group separation, the optimally discriminating projection direction can be estimated without any knowledge on the group labels. In this presentation, we (a) motivate this estimation problem, and (b) gather several unsupervised estimators based on skewness and derive their limiting distributions. As one of our main results, we show that all affine equivariant estimators of the optimal direction have proportional asymptotic covariance matrices, making their comparison straightforward. We use simulations to verify our results and to inspect the finite-sample behaviors of the estimators.
Aalto Stochastics and Statistics Seminar / Leskelä
Ioana Ciotir (INSA Rouen, Normandie Université)
Stochastic porous media equation with Robin boundary conditions, gravity-driven infiltration and multiplicative noise
Wednesday 12 February 2025, 10:15, M3 (M234)
We aim at studying a novel mathematical model associated to a physical phenomenon of infiltration in an homogeneous porous medium. The particularities of our system are connected to the presence of a gravitational acceleration term proportional to the level of saturation, and of a Brownian multiplicative perturbation. Furthermore, the boundary conditions intervene in a Robin manner with the distinction of the behavior along the inflow and outflow respectively. We provide qualitative results of well-posedness, the investigation being conducted through a functional approach.
Joint work with Dan Goreac, Juan Li and Antoine Tonnoir.
Seminar on analysis and geometry
Victor Mishnyakov (Nordita)
TBA
Wednesday 19 February 2025, 10:15, M2 (M233)
Aki Mori (Setsunan University)
TBA
Thursday 20 February 2025, 14:15, M2 (M233)
Algebra & Discrete Mathematics (ADM) Seminar
Luis Angel Castillo López (Universidad Nacional Autónoma de México)
TBA
Wednesday 26 February 2025, 10:15, M3 (M234)
Seminar on analysis and geometry
Aleksis Koski
TBA
Wednesday 05 March 2025, 10:15, M3 (M234)
Seminar on analysis and geometry
Aapo Pulkkinen
TBA
Wednesday 12 March 2025, 10:15, M3 (M234)
Seminar on analysis and geometry
Prof. Marcus Greferath (University College Dublin/Aalto)
Some old and new ideas on noiseless and noisy group testing
Wednesday 12 March 2025, 16:15, M3 (M234)
Group Testing is an area in information and communication sciences that is as well-established as Coding Theory and Cryptography. The author of this talk stumbled over this amazingly interesting topic during the recent COVID-19 pandemic and came to the moderately surprising observation that (non-adaptive) group testing in both the noiseless and the noisy (=error-correcting) case, may be considered as coding theory over the Boolean semi-field (1+1=1). Following this path, he discovered new and re-discovered known results of the theory that now allow for a presentation in a new skin. This talk will delve into the topic and show how Noiseless and Noisy Group Testing can be connected to Partially Ordered Sets, Residuation, Partial Linear Spaces, Configurations, Barbilian Spaces, and Block Designs, which gives raise to further applications of Finite Geometry and Order Theory.
ANTA Seminar / Hollanti et al.
Professor Estibalitz Durand Cartagena (UNED, Madrid)
TBA
Wednesday 02 April 2025, 10:15, M3 (M234)
Seminar on analysis and geometry
Hana Ephremidze (Universität Bonn)
TBA
Thursday 03 April 2025, 14:15, M2 (M233)
Algebra & Discrete Mathematics (ADM) Seminar
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