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Showing 1 to 12 of 12 for “"sample paths"”.

  1. Dynamic optimization in the age of big data

    … optimization problem that is constructed from sample paths of the underlying stochastic process. As more sample paths are obtained, we prove that the optimal cost of the robust problem converges to that of the underlying stochastic problem. To the best of our knowledge, this is the first …

    mit Repository record for Dynamic optimization in the age of big data (opens in a new tab)

  2. ON DERIVATIVES AND DERIVATIVES PRICING

    … would require the generation of millions of sample paths and the computational time can be long. The Least Square Policy Evaluation method can be an alternative in this case as it does not require the generation of the complete sets of sample paths and as long as we have a good basis …

    nus Repository record for ON DERIVATIVES AND DERIVATIVES PRICING (opens in a new tab)

  3. Numerical approximation and parametric statistical inference of stochastic differential equations, with applications to finance

    … of SDEs requires reliable methods of generating sample paths from the equations, e.g. for use in Monte Carlo simulations, and robust parameter estimation methods to calibrate the SDEs to observed market data. Proposed stochastic models for financial variables are becoming increasingly complex in …

    strathclyde Repository record for Numerical approximation and parametric statistical inference of stochastic differential equations, with applications to finance (opens in a new tab)

  4. Reliability diagnostic strategies for series systems under imperfect testing

    … error probabilities are included and single-pass sample paths are required. The model accounts for the expected costs of testing components, false positive termination, and no-defect-found outcomes. Based on the model, a heuristic was developed to construct the cost minimizing testing sequence. …

    vt Repository record for Reliability diagnostic strategies for series systems under imperfect testing (opens in a new tab)

  5. Quantification of benefits of the campus grid operations as a microgrid

    … operational paradigm. As such, we systematically sample the r.p.s to generate the realizations, or sample paths, that we use to emulate the scheduling of the CUS for a given operational paradigm via the ESOP. The ESOP solution maps the sample paths of the loads and supply resources into the sample

    uiuc Repository record for Quantification of benefits of the campus grid operations as a microgrid (opens in a new tab)

  6. Ancestral structures in population genetics and a generalisation to birth-death processes with catastrophes

    … consists of a set of potential ancestors of the sampled individual at any given time, to investigate the line of descent of a randomly-sampled individual from a contemporary population. We trace this ancestral line back into the distant past, far beyond the most recent common ancestor of the …

    bielefeld Repository record for Ancestral structures in population genetics and a generalisation to birth-death processes with catastrophes (opens in a new tab)

  7. Essays in the Theory and Practice of the Suzuki Method

    … a discussion, then it demonstrates through three sample paths to technical competencies how each school might carry out their technique-instructional methods. While it is commonly understood that the Suzuki Method teaches technique through music, and traditional European-based methods teach …

    cuny-grad Repository record for Essays in the Theory and Practice of the Suzuki Method (opens in a new tab)

  8. Fractional stochastic volatility models: approximation, calibration and hedging

    … volatility persistence or the roughness of the sample paths of volatilities. And that is when the fractional stochastic volatility models are introduced. Our work about fractional stochastic volatility models mainly covers three different directions: hedging, calibration and approximation. In …

    uiuc Repository record for Fractional stochastic volatility models: approximation, calibration and hedging (opens in a new tab)

  9. Variance-reduced simulation of lattice Markov chains

    … but mean estimates, say, constructed from these sample paths exhibit dramatically reduced variance. The work is comprised of three main parts. First, we introduce algorithms to reduce the simulation costs for discrete-time Markov chains. We describe how to modify the simulation of sample

    uiuc Repository record for Variance-reduced simulation of lattice Markov chains (opens in a new tab)

  10. Effective Estimation of Marginal Quantiles in Steady-State Simulations

    … batches; (ii) a new fully automated fixed-sample-size procedure for steady-state quantile estimation based on a single time series; and (iii) the first fully automated fixed-sample-size procedure for steady-state quantile estimation based on sample paths generated by independent …

    gatech Repository record for Effective Estimation of Marginal Quantiles in Steady-State Simulations (opens in a new tab)

  11. Stochastic simulation of power systems with integrated renewable and utility-scale storage resources

    … market operations. As such, we systematically sample the ``input'' random processes – namely the buyer demands, renewable resource outputs and conventional generation resource available capacities – to generate the realizations, or sample paths, that we use in the emulation of the …

    uiuc Repository record for Stochastic simulation of power systems with integrated renewable and utility-scale storage resources (opens in a new tab)

  12. Resource adequacy in grids with integrated renewable resources

    … load history and RR output data to construct the sample paths (s.p.s) associated with the stochastic process representations. The incorporation of RRs is based on the net load concept, which is defined to be the net difference between the total system load and the total RR outputs. In other words, …

    uiuc Repository record for Resource adequacy in grids with integrated renewable resources (opens in a new tab)