Sentences with phrase «existing modelling methods»

Most of the existing modelling methods produce a stream of numbers that only an expert can interpret.

Not exact matches

First, «commission - based compensation will survive, and financial professionals will continue to serve middle - income investors using all types of existing compensation models and other innovative methods,» the Coalition states.

Using machine learning to analyze and model existing crystal structures, the PLMF method is able to predict the properties of new materials proposed by scientists and engineers.

Thanks to the development of a simulation model for the breathing process of a person in a dusty work environment, researchers from the J.M Madariaga Official Laboratory (LOM) and Universidad Politécnica de Madrid (UPM) have designed a method capable to experimentally determine the efficacy of a series of existing filters and masks in the market.

A new method developed by scientists on the Florida campus of The Scripps Research Institute (TSRI) takes another tack entirely, combining existing formulas in a kind of algorithmic stew to gain a better picture of molecular structural diversity that is then used to eliminate errors and improve the final model.

Based on the existing age model (24), we targeted a search for cryptotephra (subtle horizons of volcanic glass shards not visually apparent or detectable using remote sensing methods) on the depth interval of 20 — 40 m below lake floor (MBLF) in drill sites MAL05 - 1C and MAL05 - 2A in search of the YTT.

We developed several computational and machine learning methods to successfully identify behavioral patterns or signatures associated with different classes of reference drugs, from which to predict the class of novel compounds (Brunner et al., 2012, Alexandrov et al., 2015), and more recently developed methods to allow us to compare animal models of AD and its progression, and to identify (in silico) novel compounds from our existing database of thousands of novel and reference compounds with the potential to reverse the AD model behavioral profile.

Further, existing and predictive modelling of species distributes are an increasingly important established method of informing policy recommendations of ecosystem and conservation significance (Trauth, [ch.

There exist many other models and methods to make learning interesting.

Machine learning techniques provide cost - effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models.

I would add poor understanding of appropriate statistical methods, inattention to scale issues, and lack of existing, appropriate empirical data with which to test proposed models, the latter usually being beyond the control of the researcher.

Mass - balance modelling of all glaciers individually is not practical because no detailed description exists for the great majority of them, and because local climate data are not available; even regional climate models do not have sufficient resolution, while downscaling methods can not generally be used because local climate measurements have not been made (see Section 10.7).

General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and random noise Two general aspects of time series patterns Trend Analysis Analysis of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices of Lack of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time method II seasonal adjustment Seasonal Adjustment: Basic Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Method Results Tables Computed by the X-11 Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Method Specific Description of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation of FFT in Time Series

Models will be run using Monte Carlo methods in assigning parameters along edges, results will be compared in a number of ways with observations and existing GCM results.

As for the data, models contain wonderful differential equations that manipulate the data in wonderful ways; however, all of that data manipulation is nothing more than a sophisticated method of extrapolating the future from existing graphs.

Quite egalitarian, so in fact contrarians, scientists who hold ideas outside of the mainstream can prosper provided their ideas have some factual basis and use the scientific method (Scientific method: based on existing obervations pose an hypothesis; using new observations or experiments, test the predictions of that hypothesis; on the basis of the new data either reject the hypothesis or modify it to fit the better understanding, or accept that the initial hypothesis was right at which point it becomes a «theory» or explanatory model).

Antoine Barthélemy, Université Catholique de Louvain: Our objective was to provide a simple contribution, based on an existing method but with a model which had not been used by past contributors.

: Rethinking the nature of legal services, Richard Susskind explored alternative methods of providing legal services, while pointing to some of the many failings of the existing models of delivery.

If the method catches on, it's likely that we could see other automakers add the feature to new models or perhaps offer to retrofit existing vehicles.

There are four different methods that the user can use for security, two of which existed in previous models: fingerprint authentication and knock to unlock.

Identified shortcomings in existing products and developed methods for improvement in new models

An analyst is an individual or an employee of a company whose job is to analyze existing business models, make reviews, and accordingly suggest methods and solutions for the improvement or betterment of those models or strategies.

Developed and maintained financial and cash flow models for existing and future properties and portfolios utilizing various valuation methods (NPV, IRR, Multiples)

That more consideration be given to modelling as a method to estimate economic outcomes for existing effectiveness trial results, and to generalise existing quality economic evaluation results to other jurisdictions.