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Three Perspectives of Schiemann’s Theorem 

Rydell, Felix (2020-06-23)
Interest in the field of spectral geometry, the study of how analytic and geometric properties of manifolds are related, was sparked when Marc Kac in 1966 asked the question “can one hear the shape of a drum?”. One of ...
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Delayed-acceptance approximate Bayesian computation Markov chain Monte Carlo: faster simulation using a surrogate model 

Krogdal, Andrea (2020-01-09)
The thesis introduces an innovative way of decreasing the computational cost of approximate Bayesian computation (ABC) simulations when implemented via Markov chain Monte Carlo (MCMC). Bayesian inference has enjoyed ...
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Group Invariant Convolutional Boltzmann Machines 

Lindström, Maria (2020-12-04)
We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is ...
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Volatility Curves of Incomplete Markets 

Chechelnytska, Kateryna (2020-06-23)
The graph of the implied volatility of call options as a function of the strike price is called volatility curve. If the options market were perfectly described by the Black-Scholes model, the implied volatility would ...
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Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data 

Skärberg, Fredrik (2020-11-26)
Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopy technique for 3D imaging of porous materials. We investigate three porous samples of ethyl cellulose microporous films made from ...
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An exploratory machine learning workflow for the analysis of adverse events from clinical trials 

Carlerös, Margareta (2020-06-26)
A new pharmaceutical drug needs to be shown to be safe and effective before it can be used to treat patients. Adverse events (AEs) are potential side-effects that are recorded during clinical trials, in which a new drug ...
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Always Look on the Positive-Definite Side of Life 

Byléhn, Mattias (2020-11-24)
This thesis concerns distributions on Rn with the property of being positive-definite relative to a finite subgroup of the orthogonal group O(n). We construct examples of such distributions as the inverse Abel transform ...

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AuthorByléhn, Mattias (1)Carlerös, Margareta (1)Chechelnytska, Kateryna (1)Krogdal, Andrea (1)Lindström, Maria (1)Rydell, Felix (1)Skärberg, Fredrik (1)SubjectABC, MCMC, delayed acceptance, DA, surrogate model (1)Convolutional Boltzmann Machines, Convolutional neural networks, artificial neural networks, machine learning, group invariance, group equivariance (1)Deep learning, convolutional neural networks, image analysis, semantic segmentation, focused ion beam scanning electron microscopy, porous materials, controlled drug release (1)Implied volatility, Incomplete markets, Trinomial option pricing model, Black-Scholes option pricing model, Risk-neutral probability (1)Lattice theory, Minkowski reduction, flat torus, isospectrality, spectral determination, positive definite quadratic forms, Alexander Schiemann. (1)Machine learning; Adverse events; Clinical trials; Data mining (1)Poisson summation, positive-definite distributions, Abel transform, Guinand’s distribution, relatively positive-definite distributions, Krein’s theorem, Krein measures (1)... View MoreDate Issued
2020 (7)
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