First Header Logo Second Header Logo

Connection

Robert Hampson to Likelihood Functions

This is a "connection" page, showing publications Robert Hampson has written about Likelihood Functions.
Connection Strength

0.152
  1. Song D, Wang H, Tu CY, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. J Comput Neurosci. 2013 Dec; 35(3):335-57.
    View in: PubMed
    Score: 0.116
  2. Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Statistical selection of multiple-input multiple-output nonlinear dynamic models of spike train transformation. Annu Int Conf IEEE Eng Med Biol Soc. 2007; 2007:4727-30.
    View in: PubMed
    Score: 0.019
  3. Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW. Physiologically plausible stochastic nonlinear kernel models of spike train to spike train transformation. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:6129-32.
    View in: PubMed
    Score: 0.017
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.