Patents by Inventor Charles Palit

Charles Palit has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11004094
    Abstract: Methods and systems are provided herein for calibrating subject data based on reference data, so that the calibrated subject data more closely represents a target population. The methods and systems include partitioning a reference data set into a plurality of reference data partitions using a data partitioning scheme, each reference data partition associated with a characteristic; and partitioning a subject data set into a plurality of subject data partitions using the data partitioning scheme, each subject data partition associated with a characteristic that corresponds to the characteristic associated with a reference data partition of the plurality of reference data partitions; identifying a variable present in the reference data set that is not present in the subject data set; and calculating a value of the variable for each reference data partition based on a rate of occurrence of the variable in each reference data partition.
    Type: Grant
    Filed: December 12, 2016
    Date of Patent: May 11, 2021
    Assignee: Comscore, Inc.
    Inventors: Charles Palit, Bill Engel, Michael Vinson, Bruce Goerlich
  • Publication number: 20170091789
    Abstract: Methods and systems are provided herein for calibrating subject data based on reference data, so that the calibrated subject data more closely represents a target population. The methods and systems include partitioning a reference data set into a plurality of reference data partitions using a data partitioning scheme, each reference data partition associated with a characteristic; and partitioning a subject data set into a plurality of subject data partitions using the data partitioning scheme, each subject data partition associated with a characteristic that corresponds to the characteristic associated with a reference data partition of the plurality of reference data partitions; identifying a variable present in the reference data set that is not present in the subject data set; and calculating a value of the variable for each reference data partition based on a rate of occurrence of the variable in each reference data partition.
    Type: Application
    Filed: December 12, 2016
    Publication date: March 30, 2017
    Inventors: Charles Palit, Bill Engel, Michael Vinson, Bruce Goerlich
  • Patent number: 9519910
    Abstract: A system and method that calibrates subject data for which a relationship to a target population is not known, so that the calibrated subject data can more accurately represent the target population. In many cases the calibration will involve the use of a differential weighting scheme applied to the data at the constituent level. The system and method allows the values of the observed variables in the subject data set to be weighted so that their incidence is equivalent to that of a reference population represented by a reference data set, even if the variables used in the reference data set to make estimates for the reference population were not collected or measured for the subject data set.
    Type: Grant
    Filed: September 19, 2013
    Date of Patent: December 13, 2016
    Assignee: RENTRAK CORPORATION
    Inventors: Charles Palit, Bill Engel, Michael Vinson, Bruce Goerlich
  • Publication number: 20140081703
    Abstract: A system and method that calibrates subject data for which a relationship to a target population is not known, so that the calibrated subject data can more accurately represent the target population. In many cases the calibration will involve the use of a differential weighting scheme applied to the data at the constituent level. The system and method allows the values of the observed variables in the subject data set to be weighted so that their incidence is equivalent to that of a reference population represented by a reference data set, even if the variables used in the reference data set to make estimates for the reference population were not collected or measured for the subject data set.
    Type: Application
    Filed: September 19, 2013
    Publication date: March 20, 2014
    Applicant: RENTRAK CORPORATION
    Inventors: Charles Palit, Bill Engel, Michael Vinson, Bruce Goerlich
  • Patent number: 8543523
    Abstract: A system and method that calibrates subject data for which a relationship to a target population is not known, so that the calibrated subject data can more accurately represent the target population. In many cases the calibration will involve the use of a differential weighting scheme applied to the data at the constituent level. The system and method allows the values of the observed variables in the subject data set to be weighted so that their incidence is equivalent to that of a reference population represented by a reference data set, even if the variables used in the reference data set to make estimates for the reference population were not collected or measured for the subject data set.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: September 24, 2013
    Assignee: Rentrak Corporation
    Inventors: Charles Palit, Bill Engel, Michael Vinson, Bruce Goerlich