Mark A Little

US Patent:

8374903, Feb 12, 2013

Filed:

Jun 20, 2008

Appl. No.:

12/143116

Inventors:

Mark Roland Little - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06Q 10/00

US Classification:

705 731, 705 737

Abstract:

Systems and methods are provided for a computer-implemented method for automatically generating a weighted average forecast model that includes receiving a plurality of forecasting models and time series data. At least one parameter of each of the received forecasting models is optimized utilizing the received time series data. A weighting factor is generated for each of the plurality of optimized forecasting models utilizing an information criteria value indicating fit quality of each of the optimized forecasting models, and the generated weighting factors are stored.

US Patent:

20210073023, Mar 11, 2021

Filed:

Nov 19, 2020

Appl. No.:

16/952375

Inventors:

- Cary NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 9/46
G06F 17/18
G06F 9/455
H04L 29/08
G06F 17/17
G06F 16/20

Abstract:

Techniques to manage virtual classes for statistical tests are described. An apparatus may comprise a simulated data component to generate simulated data for a statistical test, statistics of the statistical test based on parameter vectors to follow a probability distribution, a statistic simulator component to simulate statistics for the parameter vectors from the simulated data with a distributed computing system comprising multiple nodes each having one or more processors capable of executing multiple threads, the simulation to occur by distribution of portions of the simulated data across the multiple nodes of the distributed computing system, and a distributed control engine to control task execution on the distributed portions of the simulated data on each node of the distributed computing system with a virtual software class arranged to coordinate task and sub-task operations across the nodes of the distributed computing system. Other embodiments are described and claimed.

US Patent:

20200293360, Sep 17, 2020

Filed:

Mar 31, 2020

Appl. No.:

16/835854

Inventors:

- Cary NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 9/46
G06F 17/18
G06F 9/455
H04L 29/08
G06F 17/17
G06F 16/20

Abstract:

Techniques to manage virtual classes for statistical tests are described. An apparatus may comprise a simulated data component to generate simulated data for a statistical test, statistics of the statistical test based on parameter vectors to follow a probability distribution, a statistic simulator component to simulate statistics for the parameter vectors from the simulated data with a distributed computing system comprising multiple nodes each having one or more processors capable of executing multiple threads, the simulation to occur by distribution of portions of the simulated data across the multiple nodes of the distributed computing system, and a distributed control engine to control task execution on the distributed portions of the simulated data on each node of the distributed computing system with a virtual software class arranged to coordinate task and sub-task operations across the nodes of the distributed computing system. Other embodiments are described and claimed.

US Patent:

20180203720, Jul 19, 2018

Filed:

Oct 4, 2017

Appl. No.:

15/724973

Inventors:

- Cary NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 9/46
H04L 29/08
G06F 17/18
G06F 9/455
G06F 17/30
G06F 17/17
G01D 21/00
G06F 19/00

Abstract:

Techniques to manage virtual classes for statistical tests are described. An apparatus may comprise a simulated data component to generate simulated data for a statistical test, statistics of the statistical test based on parameter vectors to follow a probability distribution, a statistic simulator component to simulate statistics for the parameter vectors from the simulated data with a distributed computing system comprising multiple nodes each having one or more processors capable of executing multiple threads, the simulation to occur by distribution of portions of the simulated data across the multiple nodes of the distributed computing system, and a distributed control engine to control task execution on the distributed portions of the simulated data on each node of the distributed computing system with a virtual software class arranged to coordinate task and sub-task operations across the nodes of the distributed computing system. Other embodiments are described and claimed.

US Patent:

20180060470, Mar 1, 2018

Filed:

Nov 7, 2017

Appl. No.:

15/805774

Inventors:

- Cary NC, US
Richard Potter - Cary NC, US
Jan Chvosta - Raleigh NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 17/50
G06F 17/18

Abstract:

Techniques for estimated compound probability distribution are described herein. Embodiments may include receiving a compound model specification comprising a frequency model and a severity model, the compound model specification including a model error comprising a frequency model error and a severity model error, and determining a number of frequency models and severity models to generate based on the received number of models to generate. Embodiments include generating a plurality of frequency models through perturbation of the frequency model according to the frequency model error, and generating a plurality of severity models through perturbation of the severity model according to the severity model error. Further, embodiments include dividing generation of a plurality of compound model samples among a plurality of distributed worker nodes, and receiving the plurality of compound model samples from the distributed worker nodes, and generating aggregate statistics from the plurality of compound model samples.

US Patent:

20170220713, Aug 3, 2017

Filed:

Apr 12, 2017

Appl. No.:

15/485577

Inventors:

- CARY NC, US
RICHARD POTTER - CARY NC, US
JAN CHVOSTA - RALEIGH NC, US
MARK ROLAND LITTLE - CARY NC, US

Assignee:

SAS INSTITUTE INC. - CARY NC

International Classification:

G06F 17/50
G06F 17/18

Abstract:

Techniques for estimated compound probability distribution are described herein. Embodiments may include receiving, at a master node of a distributed system, a compound model specification comprising frequency models, severity models, and one or more adjustment functions, wherein at least one model of the frequency models and the severity models depend on one or more regressor and distributing the compound model specification to worker nodes of the distributed system, each of the worker nodes to at least generate a portion of samples for use in predicting compound distribution model estimates. Embodiments may also include predicting the compound distribution model estimates based on the sample portions of aggregate values and adjusted aggregate values.

US Patent:

20170206184, Jul 20, 2017

Filed:

May 6, 2014

Appl. No.:

14/270806

Inventors:

Xilong Chen - Chapel Hill NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS INSTITUTE INC. - Cary NC

International Classification:

G06F 17/18

Abstract:

Techniques to perform curve fitting for statistical tests are described. An apparatus may comprise a simulated data component to generate simulated data for a statistical test, the statistical test based on parameter vectors to follow a probability distribution. The apparatus may further comprise a statistic simulator component to simulate statistics for the parameter vectors from the simulated data, each parameter vector represented with a single point in a grid of points, calculate quantiles for the parameters vectors from the simulated data, and fit an estimated cumulative distribution function (CDF) curve to quantiles for each point in the grid of points using a monotonic cubic spline interpolation technique in combination with a transform to satisfy a defined level of precision. Other embodiments are described and claimed.

US Patent:

20170168992, Jun 15, 2017

Filed:

May 6, 2014

Appl. No.:

14/270837

Inventors:

Xilong Chen - Chapel Hill NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS INSTITUTE INC. - Cary NC

International Classification:

G06F 17/18

Abstract:

Techniques to provide significance for statistical tests are described. An apparatus may comprise a data handler component to receive a real data set from a client device, the real data set to comprise data representing at least one measurable phenomenon, a statistical test component to receive a computational representation arranged to generate an approximate probability distribution for statistics of a statistical test based on a parameter vector, the statistics of the statistical test to follow a probability distribution, generate statistics for the statistical test using the real data set, generate the approximate probability distribution of the computational representation, and a significance generator component to generate a set of statistical significance values for the statistics through interpolation using the approximate probability distribution, the set of statistical significance values comprising one or more p-values. Other embodiments are described and claimed.