Simulation-based estimation: a case study in oncology (SIMEST) and a case study in portfolio selection (SIMUGRAM)

Simple item page
dc.citation.firstpage379en_US
dc.citation.issueNumber6en_US
dc.citation.journalTitleWIREsen_US
dc.citation.lastpage385en_US
dc.citation.volumeNumber6en_US
dc.contributor.authorThompson, James R.en_US
dc.date.accessioned2014-11-21T21:26:55Zen_US
dc.date.available2014-11-21T21:26:55Zen_US
dc.date.issued2014en_US
dc.description.abstractSince the time of Poisson, stochastic processes have been axiomatized in the temporally forward direction. Yet for nearly a century, estimation of parameters and even forecasts have been based on likelihood approaches that start with temporally indexed data and then look backward in time. I shall be using the philosophy of Karl Pearson [Scott DW, Tapia RA, Thompson JR. Karl Pearson was right. Computer Science and Statistics: Tenth Annual Symposium on the Interface; 1978, 179?183] in this article where I create, using a forward model, a large virtual universe of happenings based on the assumption of four parameters characterizing an oncological process based on four Poissonian processes. Bins will be formed in the real time space based on the actual data of real world system of times of discovery of primary and secondary tumors and use bin boundaries that enclose roughly 5% of the actual tumor discover data and compare the bin proportions of virtual data with the proportions of actual data in each of the bins. This will enable us to use Karl Pearson's goodness-of-fit criterion as the objective function for a Nelder-Mead optimization. We present here an oncological example where the objective is to estimate four parameters relevant to the progression of breast cancer. This procedure is termed the SIMEST paradigm.Then we briefly describe the patented SIMUGRAM for estimating the distribution of portfolio values using daily resampling strategies. This procedure makes minimal model assumptions and is completely based on data.en_US
dc.identifier.citationThompson, James R.. "Simulation-based estimation: a case study in oncology (SIMEST) and a case study in portfolio selection (SIMUGRAM)." <i>WIREs,</i> 6, no. 6 (2014) Wiley: 379-385. http://dx.doi.org/10.1002/wics.1320.en_US
dc.identifier.doihttp://dx.doi.org/10.1002/wics.1320en_US
dc.identifier.urihttps://hdl.handle.net/1911/78485en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Wiley.en_US
dc.subject.keywordbreast canceren_US
dc.subject.keywordforward estimationen_US
dc.subject.keywordportfolio forecastingen_US
dc.titleSimulation-based estimation: a case study in oncology (SIMEST) and a case study in portfolio selection (SIMUGRAM)en_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
SIMESTforWIRES.pdf
Size:
811.6 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Faculty Publications
Statistics Publications
Works of James R. Thompson