Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 Podcast
1) Network-based analysis of gene expression data
The methods of molecular biology for the quantitative measurement of gene expression have undergone a rapid development in the past two decades. High-throughput assays with the microarray and RNA-se...Show More
2) Context-based RNA-seq mapping
In recent years, the sequencing of RNA (RNA-seq) using next generation sequencing (NGS) technology has become a powerful tool for analyzing the transcriptomic state of a cell. Modern NGS platforms all...Show More
3) Computing hybridization networks using agreement forests
Rooted phylogenetic trees are widely used in biology to represent the evolutionary history of certain species. Usually, such a tree is a simple binary tree only containing internal nodes of in-degree ...Show More
4) Exploiting autobiographical memory for fallback authentication on smartphones
Smartphones have advanced from simple communication devices to multipurpose devices that capture almost every single moment in our daily lives and thus contain sensitive data like photos or contact in...Show More
5) Efficient data mining algorithms for time series and complex medical data
6) Cross-species network and transcript transfer
Metabolic processes, signal transduction, gene regulation, as well as gene and protein expression are largely controlled by biological networks. High-throughput experiments allow the measurement of a ...Show More
7) Mean field limits for charged particles
The aim of this thesis is to provide a rigorous mathematical derivation of the Vlasov-Poisson equation and the Vlasov-Maxwell equations in the large N limit of interacting charged particles. We will e...Show More
8) Fostering awareness and collaboration in large-class lectures
For decades, higher education has been shaped by large-class lectures, which are characterized by large anonymous audiences. Well known issues of large-class lectures are a rather low degree of intera...Show More
9) Modeling the dynamics of large conditional heteroskedastic covariance matrices
Many economic and financial time series exhibit time-varying volatility. GARCH models are tools for forecasting and analyzing the dynamics of this volatility. The co-movements in financial markets and...Show More
Modeling the dynamics of large conditional heteroskedastic covariance matrices
0:00 | Dec 11th, 2015
10) The asymptotic behavior of the term structure of interest rates
In this dissertation we investigate long-term interest rates, i.e. interest rates with maturity going to infinity, in the post-crisis interest rate market. Three different concepts of long-term inte...Show More
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