SELECTED PUBLICATIONS by theme (last updated 2017)
AI: Deep Networks
Easy Reads / Overviews
Abstracts appear in "Abstracts" tab
- Multiscale Modeling and Inference Simple reads for the untouched mind:
Statistical Estimation:
Abstracts appear in "Abstracts" tab
- Tail estimation
- Inference of Long Memory (LRD)
- Scaling-parameter Estimation (Method of Moments)
- Sampling and probing
- Bit Leaking: estimation of processing time across the internet
Traffic modeling in Networks:
Abstracts appear in "Abstracts" tab
- Overviews
- Non-Gaussianity: Cause and Modeling
- Finite Sampling for Cross-traffic Inference
- Queuing in a Multiscale Setting
- Statistical workload models
- Discovery of Scaling in Network traces
Wireless and ad hoc networks
Abstracts appear in "Abstracts" tab
- Scalable Ad Hoc Architecture
- Broadcast Algorithms
- Capacity
- Dynamics
- Mobility
Internet Delay Space
Abstracts appear in "Abstracts" tab
E-commerce
Abstracts appear in "Abstracts" tab
- Profiling Clients and Shop-Robots
- E-workload
Foundations of Stochastic Multiscale Processes
Multiscale models for financial, networking and physical data
Abstracts appear in "Abstracts" tab
- Introductions and overviews
- Multifractal Subordination
- Products of stationary Processes
- Infinitely Divisible Cascades
- Multifractal Cascades
- Ergodicity
- Fractal properties of characteristic functions
Other applications of multifractals:
Abstracts appear in "Abstracts" tab
- Imaging
- Turbulence
- Geophysics
- Medical: Hemodynamics