PDF Ebook about: Stochastics
Stochastics
List of ebooks and manuals about Stochastics
50 documents available in our comprehensive collection of Stochastics resources. Find practical guides, tutorials, and documentation to enhance your knowledge.
Stochastic MPC (17_016.pdf)
299 KBEN 7 pages
Model predictive control for stochastic max-plus linear systems with chance constraints is developed, where uncertainties are characterized as random variables...
Stochastic Simulation (etr077.pdf)
172 KBEN 7 pages
The stochastic simulation algorithm (SSA) is computationally expensive for models with many reaction channels and species, as it executes each reaction...
Stochastic Perception (WRAP_Adelman_fpsyg-05-00412 1.pdf)
555 KBEN 16 pages
Stochastic accumulation of feature information in perception and memory is a process where information about a stimulus is gradually accumulated over time,...
Stochastic Planning Inference (wu22a.pdf)
548 KBEN 12 pages
Stochastic planning is reduced to probabilistic inference in large discrete graphical models, requiring approximation schemes due to hardness of inference.
Stochastic Systems Simulation (30553.pdf)
32 KBEN 1 page
Course EE 511 covers stochastic systems simulation, including tools for generating and validating random models, maximum likelihood methods, Monte Carlo, and...
Stochastic ordering of order statistics. (BLR.pdf)
106 KBEN 13 pages
Independent random variables Xi with parameters λi and Yi with common parameter (λ1 + · · · + λn)/n have order statistics X(1), . . .
Norm Estimates for Semimartingales and Applications to Stochastic Games (29.pdf)
537 KBEN 26 pages
This paper introduces a novel norm for semimartingales, characterized by square integrability, offering insights into zero-sum stochastic differential games and providing a tractable framework for studying general semimartingales and their barriers in the context of doubly...
Download PDF (7802-13-11330-1-2-20201228.pdf)
518 KBEN 6 pages
A novel Stochastic Model Predictive Control (SMPC) algorithm is developed for building automation systems, integrating a stochastic building occupancy model to...
MCMC Lecture Notes (n1998.pdf)
1.21 MBEN 166 pages
Markov Chain Monte Carlo lecture notes cover Monte Carlo methods, stochastic processes, Markov chains, and stationary stochastic processes, discussing...
EGU2010-10045 (EGU2010-10045.pdf)
34 KBEN 1 page
Georg Pistotnik from the Central Institute for Meteorology and Geodynamics introduced stochastics into simulating convective precipitation events in the
Optimal Management of Storage for Offsetting Solar Power Uncertainty using Multistage Stochastic Programming (SDDPAfricaV3.pdf)
1.67 MBEN 24 pages
Optimal management of storage for offsetting solar power uncertainty is addressed using multistage stochastic programming.
Stochastic Analysis and Applications: From SDEs to MCMC and Generators (Notes_of_Stochastic_Analysis.pdf)
635 KBEN 10 pages
Notes on Stochastic Analysis by Narsil Zhang, covering Ito's Formula, Forward and Backward Equations, SDE & MCMC methods (SGLD, Stochastic Gradient Hamiltonian MC), Wasserstein distance, and Gradient Flows with a focus on SGLD, all within the context of Peking University's CS...
Bipartite Ranking Bounds (389_main_paper.pdf)
1.49 MBEN 10 pages
Bipartite ranking has a quadratic dependence on sample size. A low-cost stochastic algorithm is proposed, leveraging pairwise squared loss structure. It achieves competitive performance without stochastic gradients or learning rates.
An Efficient Algorithm for Generating Trajectories of Stochastic Gene Regulation Reactions (etr026.pdf)
370 KBIT 19 pages
A collection of seemingly random characters and numbers, including symbols and special marks, forming an unstructured text with no clear language or format.
Römisch (roemisch.pdf)
2.13 MBEN 35 pages
Stochastic programming is used in electricity portfolio and airline revenue management to handle uncertain parameters.
Shift – Hybrid Monte Carlo Particle Transport – Kat Royston (ORNL/CASL) (08-Shift--Hybrid-Monte-Carlo-Particle-Transport.pdf)
17.13 MBEN 46 pages
The presentation discusses computational transport methods, including deterministic and stochastic (Monte Carlo) methods, as well as hybrid methods that...
http://archimer.ifremer.fr/doc/00074/18571/16153.pdf (16153.pdf)
439 KBEN 29 pages
A stochastic viability approach is proposed for ecosystem-based fisheries management, accounting for dynamic complexities, uncertainties, risk, and...
PDF (12918_2015_240_MOESM1_ESM.pdf)
508 KBEN 8 pages
A cell size- and cell cycle-aware stochastic model predicts time-dynamic gene network activity in individual cells.
6b Flash ADC (2008-asscc-6b-stochastic-flash.pdf)
387 KBEN 4 pages
A 6b stochastic flash analog-to-digital converter without calibration or reference ladder is presented, where comparator offset is used to generate...
Turing Arrows (mathgen-1389529747.pdf)
393 KBEN 8 pages
The article discusses various mathematical concepts, including Gaussian matrices, stochastic orthogonality, and Turing's condition.
795010.pdf (795010.pdf)
569 KBEN 23 pages
Stochastic games with lexicographic reachability-safety objectives are studied, where multiple objectives have a strict preference order.
Download PDF (cha23a.pdf)
672 KBEN 58 pages
The study examines convergence lower bounds of without-replacement stochastic gradient descent (SGD) for solving smooth (strongly-)convex finite-sum...
Bayesian Inference (Pri.pdf)
1.28 MBEN 9 pages
On the use of the BMC to resolve Bayesian inference with nuisance parameters: This paper presents a stochastic approach to marginalize nuisance parameters in...
PDF document (v16i1p11.pdf)
153 KBEN 11 pages
The authors consider a stochastic equation for a viscous barotropic gas and prove the existence and uniqueness of the solution using the Galerkin method.
Download (5540.pdf)
584 KBEN 25 pages
Researchers propose a scenario tree decomposition approach to obtain bounds for risk-averse mixed-integer multi-stage stochastic programming problems with a...
Double Q-learning (3964-double-q-learning.pdf)
190 KBEN 9 pages
Double Q-learning addresses Q-learning's poor performance in stochastic environments due to large overestimations of action values, caused by using the maximum...
AAAI Awards (AAAI96-295.pdf)
170 KBEN 1 page
A Novel Application of Theory Refinement to Student Modeling", "Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search", and "Verification...
Learning and Expectations in Dynamic Spatial Economies (f188258.pdf)
2.96 MBEN 79 pages
Researchers develop a methodology to study the spatial effects of shocks to economic fundamentals in a stochastic dynamic spatial framework, allowing for...
G-Martingale Representation (21.pdf)
308 KBEN 23 pages
The theorem provides a hedging strategy in a market with uncertain volatility and is proved using techniques from second-order stochastic target problems and...
Ramsey Optimal Policy Algorithm (MPRA_paper_98654.pdf)
193 KBEN 13 pages
This article presents an algorithm for solving Ramsey optimal policy with exogenous forcing variables in dynamic stochastic general equilibrium models.
Liu et al. (2019) (1908.03265.pdf)
2.74 MBEN 14 pages
Researchers identify the variance issue of the adaptive learning rate in stochastic optimization algorithms like Adam and RMSprop, which can lead to...
PDF (paper.pdf)
1.3 MBEN 11 pages
Researchers from the University of Illinois at Urbana-Champaign explored parallelizing two-stage stochastic integer programs using branch-and-bound techniques,...
Well-Posedness of High-Dimensional Forward-Backward Stochastic Differential Equations (FBSDEs) (10.pdf)
125 KBEN 12 pages
This paper extends the well-posedness result for Forward-Backward Stochastic Differential Equations (FBSDEs) to high dimensions, significantly weakening existing key conditions, allowing for arbitrary time durations, random coefficients, degenerate forward diffusion, and no...
Monte Carlo Derivative Pricing with Partial Info in Marked DSPP (IJTAF-744-r-paper.pdf)
629 KBEN 35 pages
This working paper explores Monte Carlo derivative pricing in a class of doubly stochastic Poisson processes with marks, considering partial information.
“Shiny-Rrisk web-based tool for stochastic quantitative risk assessment and reporting” (Robert_Opitz_shiny-rrisk_2023-10-26-UA.pdf)
914 KBEN 8 pages
Shiny-Rrisk is a web tool for stochastic quantitative risk assessment and reporting, developed by Robert Opitz, PhD, at the German Federal Institute for Risk...
ATM Traffic Modelling (97_109.pdf)
293 KBEN 6 pages
Discrete stochastic modelling of ATM-traffic with circulant transition matrices is proposed, using a Markov Modulated Poisson Process (MMPP) to capture first...
Ephremides_RelayChannel.pdf (Ephremides_RelayChannel.pdf)
67 KBEN 1 page
The objective is to analyze cross-layering problems in wireless ad hoc networks from the perspective of stochastic games, focusing on a simple relay channel...
Download PDF (18561-77-22080-1-2-20210721.pdf)
126 KBEN 5 pages
Thorsten Klößner and Jörg Hoffmann propose pattern database (PDB) heuristics for stochastic shortest-path problems (SSP), a subclass of Markov decision...
The BoC-GEM-Fin: Banking in the Global Economy (resende.pdf)
246 KBEN 11 pages
The Bank of Canada's Global Economy Model with Financial Frictions (BoC-GEM-Fin) is a multi-regional dynamic stochastic general-equilibrium model that features...
Download brochure (2023-Mine-Optimization-Workshop.pdf)
381 KBEN 3 pages
The Mine Optimization Workshop 2023 aims to improve mine planning techniques, covering strategic mine planning, economic performance, stochastic pit-limit...
Neuroimaging Validation (Himberg04.pdf)
876 KBEN 17 pages
Independent component analysis (ICA) is widely used in brain imaging data analysis, but its results may vary due to stochastic algorithms and random sampling.
Chance-Constrained Model Predictive Controller Synthesis for Stochastic Max-Plus Linear Systems (16_030.pdf)
612 KBEN 9 pages
This technical report from Delft University of Technology presents a method for synthesizing chance-constrained model predictive controllers for stochastic max-plus linear systems, addressing uncertainty through probabilistic constraints. The research was presented at the 2016...
stock_2021-08-23_TL (stock_2021-08-23_TL.pdf)
126 KBEN 7 pages
Petter Mostad
Applied Mathematics and Statistics
Chalmers and GU
MVE550 Stochastic Processes and Bayesian Inference
Re-exam August 23, 2021, 8:30 - 12:30...
Nonconvex Optimization Bounds (32_main_paper.pdf)
283 KBEN 10 pages
Stochastic gradient-based optimization algorithms use early stopping based on a validation function. The stopping rule terminates when the gradient norm falls below a threshold. Bounds are derived for expected iterations and gradient evaluations.
Segment-Based Acoustic Models with Multi-level Search Algorithms for Continuous Speech Recognition (H92-1100.pdf)
92 KBEN 1 page
Ostendorf and Rohlicek (Boston U, BBN) aim to enhance speaker-independent continuous speech recognition via stochastic, segment-based acoustic models and efficient, multi-level search algorithms, funded by DARPA and NSF.
Download (CASIO forum 2017_2 AT.pdf)
2.87 MBDE 12 pages
Das CASIO-Forum thematisiert den Einsatz von Rechnern im Unterricht, insbesondere im Bereich der Stochastik und linearen Algebra.
Modelli Probabilistici Finanza (ProgrammaMPF2012-2013.pdf)
36 KBIT 2 pages
Il corso copre argomenti come il credit scoring, la matematica finanziaria, la probabilità, i processi stocastici, il modello di Black Scholes, la volatilità e...
FTSG Exploration (105_main_paper.pdf)
680 KBEN 10 pages
Exploration in finite-horizon turn-based stochastic games involves trade-offs between exploration and exploitation. The Upper Bounding the Values for Players (UBVP) framework guides exploration. It leverages key insights on optimal policy choices.
Simulating Noisy Systems with Unified Cellular Automata Formalism (2012-JAC-ArrighiSchabanelTheyssier.pdf)
254 KBEN 17 pages
It presents tools to analyze and determine such simulations, but shows the relation is undecidable in 2D.
Dynamic Topic Modeling (365_main_paper.pdf)
1.23 MBEN 10 pages
Dynamic Correlated Topic Models use stochastic variational inference to capture topic correlation and word co-occurrence evolution over time. Gaussian processes (GPs) enable modeling of temporal changes in topic correlations. This identifies shifts in topic relationships.
Popular Keywords
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