Search results for "Programming"

showing 10 items of 3090 documents

"Table 39" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Compilation of multiplicities of tensor mesons from current LEP I data.

InclusiveE+ E- --> F2(1270) XStrange productionE+ E- --> K2*(1430)0 XE+ E- ScatteringNuclear TheoryHigh Energy Physics::PhenomenologyComputer Science::Programming LanguagesHigh Energy Physics::Experiment91.2Nuclear ExperimentMULT
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"Table 37" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Compilation of multiplicities of scalar mesons from current LEP I data.

InclusiveE+ E- ScatteringNuclear TheoryHigh Energy Physics::PhenomenologyComputer Science::Programming LanguagesE+ E- --> F0 XHigh Energy Physics::Experiment91.2Nuclear ExperimentMULT
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"Table 35" of "Tuning and test of fragmentation models based on identified particles and precision event shape data."

1996

Charged particle multiplicity compiled from current LEP I data.

InclusiveHardware_GENERALE+ E- ScatteringComputingMethodologies_MISCELLANEOUSHigh Energy Physics::PhenomenologyComputer Science::Programming LanguagesHigh Energy Physics::ExperimentE+ E- --> CHARGED X91.2MULT
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Pricing and hedging GDP-linked bonds in incomplete markets

2018

Abstract We model the super-replication of payoffs linked to a country’s GDP as a stochastic linear program on a discrete time and state-space scenario tree to price GDP-linked bonds. As a byproduct of the model we obtain a hedging portfolio. Using linear programming duality we compute also the risk premium. The model applies to coupon-indexed and principal-indexed bonds, and allows the analysis of bonds with different design parameters (coupon, target GDP growth rate, and maturity). We calibrate for UK and US instruments, and carry out sensitivity analysis of prices and risk premia to the risk factors and bond design parameters. We also compare coupon-indexed and principal-indexed bonds. F…

Incomplete marketEconomics and EconometricsHistoryControl and OptimizationPolymers and PlasticsFinancial economicsContingent bonds; Debt restructuring;Asset pricing; Incomplete markets; Risk premium; Stochastic programming; Super-replicationRisk premiumStochastic programmingDebt restructuringIndustrial and Manufacturing EngineeringSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Incomplete markets0502 economics and businessEconometricsEconomicsCapital asset pricing model050207 economicsBusiness and International ManagementSuper-replicationContingent bond050208 financeApplied MathematicsBond05 social sciencesRisk premiumAsset pricingBond market indexMaturity (finance)Stochastic programmingRisk-free bond8. Economic growthPortfolioCoupon
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Pricing and Hedging GDP-Linked Bonds in Incomplete Markets

2017

We model the super-replication of payoffs linked to a country's GDP as a stochastic linear program on a discrete time and state-space scenario tree to price GDP-linked bonds. As a byproduct of the model, we obtain a hedging portfolio. Using linear programming duality we also compute the risk premium. The model applies to coupon-indexed and principal-indexed bonds, and allows the analysis of bonds with different design parameters (coupon, target GDP growth rate, and maturity). We calibrate for UK and US instruments and carry out a sensitivity analysis of prices and risk premia to the risk factors and bond design parameters. We also compare coupon-indexed and principal-indexed bonds. Results …

Incomplete marketsRisk premiumStochastic programmingDebt restructuringAsset pricingSuper-replicationContingent bonds
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Estimating feature discriminant power in decision tree classifiers

1995

Feature Selection is an important phase in pattern recognition system design. Even though there are well established algorithms that are generally applicable, the requirement of using certain type of criteria for some practical problems makes most of the resulting methods highly inefficient. In this work, a method is proposed to rank a given set of features in the particular case of Decision Tree classifiers, using the same information generated while constructing the tree. The preliminary results obtained with both synthetic and real data confirm that the performance is comparable to that of sequential methods with much less computation.

Incremental decision treeComputer sciencebusiness.industryDecision tree learningRank (computer programming)Decision treePattern recognitionFeature selectionMachine learningcomputer.software_genreSet (abstract data type)Tree (data structure)Feature (machine learning)Artificial intelligencebusinesscomputer
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Moments and Laws of Large Numbers

2020

The most important characteristic quantities of random variables are the median, expectation and variance. For large n, the expectation describes the typical approximate value of the arithmetic mean (X 1+…+X n )/n of independent and identically distributed random variables (law of large numbers).

Independent and identically distributed random variablesShort CodeVariance (accounting)law.inventionlawLaw of large numbersStatisticsGeiger counterValue (mathematics)Random variablecomputerArithmetic meancomputer.programming_languageMathematics
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When Eroticism Makes Luxury Fashion Brands Fly: Introducing the Construct of Eroticism, Providing a First Measurement and Rank of Luxury Fashion Bran…

2021

Index (economics)media_common.quotation_subjectRank (computer programming)EroticismAdvertisingBusinessConstruct (philosophy)media_commonLuxury
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Study of a medium-size biological molecular association by means of a pair potential semiempirical approach: β-carboline-lumiflavin

1985

The molecular association between some substituted β-carbolines and a model flavin, lumiflavin, has been studied by means of a semiempirical approach proposed by Fraga based on a 1/R expansion of atom-atom pair potentials. Only stacked minima have been considered because of their possible biological interest. The calculations characterize 15 different minimum stacked conformations, most of them occurring in the complexes considered. The structural and energetic effects of 1–Me, 6–OH and 7–OH substituents of β-carboline are discussed. An equilibrium conformation involving geometric overlap between the pteridinic portion of flavin and the indole group of β-carboline is predicted to be the mos…

Indole testStereochemistryHydrogen bondAssociation (object-oriented programming)General ChemistryFlavin groupAdductComputational Mathematicschemistry.chemical_compoundchemistryComputational chemistryLumiflavinTotal energyPair potentialJournal of Computational Chemistry
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Induced Pluripotent Mesenchymal Stromal Cell Clones Retain Donor-derived Differences in DNA Methylation Profiles

2012

Reprogramming of somatic cells into induced pluripotent stem cells (iPSCs) is an epigenetic phenomenon. It has been suggested that iPSC retain some tissue-specific memory whereas little is known about interindividual epigenetic variation. We have reprogrammed mesenchymal stromal cells from human bone marrow (iP-MSC) and compared their DNA methylation profiles with initial MSC and embryonic stem cells (ESCs) using high-density DNA methylation arrays covering more than 450,000 CpG sites. Overall, DNA methylation patterns of iP-MSC and ESC were similar whereas some CpG sites revealed highly significant differences, which were not related to parental MSC. Furthermore, hypermethylation in iP-MSC…

Induced Pluripotent Stem CellsBiologyDrug DiscoveryGeneticsHumansEpigeneticsCancer epigeneticsInduced pluripotent stem cellMolecular BiologyPharmacologyMesenchymal Stromal CellsReverse Transcriptase Polymerase Chain ReactionMesenchymal Stem CellsMethylationDNA MethylationFlow CytometryMolecular biologyEmbryonic stem cellImmunohistochemistryClone CellsCpG siteDNA methylationMolecular MedicineOriginal ArticleCpG IslandsReprogrammingMolecular Therapy
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