Probability and Random Processes - Study24x7
Social learning Network

Warning: include(./views/auth.php): failed to open stream: Permission denied in /var/www/html/live/loginRightSlider.php on line 18

Warning: include(): Failed opening './views/auth.php' for inclusion (include_path='.:/usr/share/php') in /var/www/html/live/loginRightSlider.php on line 18
Probability and Random Processes
broucher Course Brochure
Probability and Random Processes
by Prof. Mrityunjoy Chakraborty

In probability theory and related fields, a stochastic orrandom process is a mathematical object usually defined as a family of random variables. ... Furthermore, seemingly random changes in financial markets have motivated the extensive use of stochastic processes in finance....

0.0  (0 Ratings) 920 Learner
validy img Validity Unlimited
level All Level
level English
cover Img Preview not available
Program Fee
FREE
About This Course

In probability theory and related fields, a stochastic orrandom process is a mathematical object usually defined as a family of random variables. ... Furthermore, seemingly random changes in financial markets have motivated the extensive use of stochastic processes in finance....


Warning: count(): Parameter must be an array or an object that implements Countable in /var/www/html/live/courseDetail.php on line 5432
Course Curriculum
1 Sections | 39 Lecture | 38h 56min total length
Expand all sections
Probability and Random Processes

Probability and Random Processes

| 38h 56min total length
  • <?php echo $alt; ?>

    Introduction to the Theory of Probability

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Axioms of Probability

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Axioms of Probability (Contd.)

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Introduction to Random Variables

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Probability Distributions and Density Functions

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Conditional Distribution and Density Functions

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Function of a Random Variable

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Function of a Random Variable (Contd.)

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Mean and Variance of a Random Variable

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Moments

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Characteristic Function

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Two Random Variables

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Function of Two Random Variables (Contd.)

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Correlation Covariance and Related Innver

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Vector Space of Random Variables

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Joint Moments

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Joint Characteristic Functions

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Joint Conditional Densities

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Joint Conditional Densities (Contd.)

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Sequences of Random Variables

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Sequences of Random Variables (Contd.)

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Correlation Matrices and their Properties

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Correlation Matrices and their Properties

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Conditional Densities of Random Vectors

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Characteristic Functions and Normality

    1h 60 min <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Tchebycheff Inequality and Estimation of an Unknown Parameter

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Central Limit Theorem

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Introduction to Stochastic Process

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Stationary Processes

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Cyclostationary Processes

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    System with Random Process at Input

    1h 60 min <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Ergodic Processes

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Introduction to Spectral Analysis

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Spectral Analysis Contd.

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Spectrum Estimation - Non Parametric Methods

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Spectrum Estimation - Parametric Methods

    1h 60 min <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Autoregressive Modeling and Linear Prediction

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Linear Mean Square Estimation - Wiener (FIR)

    59m <?php echo $alt; ?>
  • <?php echo $alt; ?>

    Adaptive Filtering - LMS Algorithm

    59m <?php echo $alt; ?>
More Courses by Prof. Mrityunjoy Chakraborty

Adaptive Signal Processing

by Prof. Mrityunjoy Chakraborty
0.0 (0)

0 Enrollments

Validity Unlimited

Free

NOC:Discrete Time Signal Processing

by Prof. Mrityunjoy Chakraborty
0.0 (0)

1 Enrollments

Validity Unlimited

Free